id stringlengths 9 16 | title stringlengths 4 278 | categories listlengths 1 13 | abstract stringlengths 3 4.08k | filtered_category_membership dict |
|---|---|---|---|---|
1010.4854 | Implicit and explicit communication in decentralized control | [
"cs.IT",
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] | There has been substantial progress recently in understanding toy problems of purely implicit signaling. These are problems where the source and the channel are implicit -- the message is generated endogenously by the system, and the plant itself is used as a channel. In this paper, we explore how implicit and explicit... | {
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1010.4855 | Towards a communication-theoretic understanding of system-level power
consumption | [
"cs.IT",
"cs.CC",
"math.IT"
] | Traditional communication theory focuses on minimizing transmit power. However, communication links are increasingly operating at shorter ranges where transmit power can be significantly smaller than the power consumed in decoding. This paper models the required decoding power and investigates the minimization of total... | {
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1010.4858 | S-MATE: Secure Coding-based Multipath Adaptive Traffic Engineering | [
"cs.NI",
"cs.CR",
"cs.IT",
"math.IT"
] | There have been several approaches to provisioning traffic between core network nodes in Internet Service Provider (ISP) networks. Such approaches aim to minimize network delay, increase network capacity, and enhance network security services. MATE (Multipath Adaptive Traffic Engineering) protocol has been proposed for... | {
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1010.4876 | Optimal Packet Scheduling on an Energy Harvesting Broadcast Link | [
"cs.IT",
"math.IT"
] | The minimization of transmission completion time for a given number of bits per user in an energy harvesting communication system, where energy harvesting instants are known in an offline manner is considered. An achievable rate region with structural properties satisfied by the 2-user AWGN Broadcast Channel capacity r... | {
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1010.4893 | Collaborative Sources Identification in Mixed Signals via Hierarchical
Sparse Modeling | [
"cs.CV"
] | A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on C-HiLasso, a convex collaborative hierarchical sparse model, and proceeds as follows. First, we build a structured dictionary for mixed signals by concatenating a set of sub-dictionaries, ... | {
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1010.4911 | The Capacity Region of the 3-User Gaussian Interference Channel with
Mixed Strong-Very Strong Interference | [
"cs.IT",
"math.IT"
] | We consider the 3-user Gaussian interference channel and provide an outer bound on its capacity region. Under some conditions, which we call the mixed strong-very strong interference conditions, this outer bound is achievable. These conditions correspond to the case where at each receiver, one transmitter is causing st... | {
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1010.4920 | Jointly Optimal Channel Pairing and Power Allocation for Multichannel
Multihop Relaying | [
"cs.IT",
"cs.NI",
"cs.PF",
"math.IT"
] | We study the problem of channel pairing and power allocation in a multichannel multihop relay network to enhance the end-to-end data rate. Both amplify-and-forward (AF) and decode-and-forward (DF) relaying strategies are considered. Given fixed power allocation to the channels, we show that channel pairing over multipl... | {
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1010.4951 | Local Component Analysis for Nonparametric Bayes Classifier | [
"cs.CV",
"cs.LG"
] | The decision boundaries of Bayes classifier are optimal because they lead to maximum probability of correct decision. It means if we knew the prior probabilities and the class-conditional densities, we could design a classifier which gives the lowest probability of error. However, in classification based on nonparametr... | {
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1010.4965 | Dually flat structure with escort probability and its application to
alpha-Voronoi diagrams | [
"cond-mat.stat-mech",
"cs.IT",
"math.DG",
"math.IT"
] | This paper studies geometrical structure of the manifold of escort probability distributions and shows its new applicability to information science. In order to realize escort probabilities we use a conformal transformation that flattens so-called alpha-geometry of the space of discrete probability distributions, which... | {
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1010.4971 | Correlated couplings and robustness of coupled networks | [
"physics.data-an",
"cond-mat.stat-mech",
"cs.SI",
"physics.soc-ph"
] | Most real-world complex systems can be modelled by coupled networks with multiple layers. How and to what extent the pattern of couplings between network layers may influence the interlaced structure and function of coupled networks are not clearly understood. Here we study the impact of correlated inter-layer coupling... | {
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1010.4980 | On Design of Collaborative Beamforming for Two-Way Relay Networks | [
"cs.IT",
"math.IT"
] | We consider a two-way relay network, where two source nodes, S1 and S2, exchange information through a cluster of relay nodes. The relay nodes receive the sum signal from S1 and S2 in the first time slot. In the second time slot, each relay node multiplies its received signal by a complex coefficient and retransmits th... | {
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1010.4999 | On the Stability of Swarm Consensus Under Noisy Control | [
"nlin.AO",
"cs.MA"
] | Representation of a swarm of independent robotic agents under graph-theoretic constructs allows for more formal analysis of convergence properties. We consider the local and global convergence behavior of an N-member swarm of agents in a modified consensus problem wherein the connectivity of agents is governed by proba... | {
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1010.5051 | Complex Networks: effect of subtle changes in nature of randomness | [
"cond-mat.stat-mech",
"cs.SI",
"physics.soc-ph"
] | In two different classes of network models, namely, the Watts Strogatz type and the Euclidean type, subtle changes have been introduced in the randomness. In the Watts Strogatz type network, rewiring has been done in different ways and although the qualitative results remain same, finite differences in the exponents ar... | {
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1010.5092 | The Value of Information for Populations in Varying Environments | [
"q-bio.PE",
"cond-mat.stat-mech",
"cs.IT",
"math.IT"
] | The notion of information pervades informal descriptions of biological systems, but formal treatments face the problem of defining a quantitative measure of information rooted in a concept of fitness, which is itself an elusive notion. Here, we present a model of population dynamics where this problem is amenable to a ... | {
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1010.5113 | Coarse-Grained Analysis of Microscopic Neuronal Simulators on Networks:
Bifurcation and Rare-events computations | [
"cs.SI",
"nlin.AO",
"physics.bio-ph",
"q-bio.NC"
] | We show how the Equation-Free approach for mutliscale computations can be exploited to extract, in a computational strict and systematic way the emergent dynamical attributes, from detailed large-scale microscopic stochastic models, of neurons that interact on complex networks. In particular we show how the Equation-Fr... | {
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1010.5141 | Generalized Approximate Message Passing for Estimation with Random
Linear Mixing | [
"cs.IT",
"math.IT"
] | We consider the estimation of an i.i.d.\ random vector observed through a linear transform followed by a componentwise, probabilistic (possibly nonlinear) measurement channel. A novel algorithm, called generalized approximate message passing (GAMP), is presented that provides computationally efficient approximate imple... | {
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1010.5163 | Distributed Detection over Time Varying Networks: Large Deviations
Analysis | [
"cs.IT",
"math.IT"
] | We apply large deviations theory to study asymptotic performance of running consensus distributed detection in sensor networks. Running consensus is a stochastic approximation type algorithm, recently proposed. At each time step k, the state at each sensor is updated by a local averaging of the sensor's own state and t... | {
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1010.5278 | Analysis and Design of Tuned Turbo Codes | [
"cs.IT",
"math.IT"
] | It has been widely observed that there exists a fundamental trade-off between the minimum (Hamming) distance properties and the iterative decoding convergence behavior of turbo-like codes. While capacity achieving code ensembles typically are asymptotically bad in the sense that their minimum distance does not grow lin... | {
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1010.5290 | Converged Algorithms for Orthogonal Nonnegative Matrix Factorizations | [
"cs.LG",
"cs.NA"
] | This paper proposes uni-orthogonal and bi-orthogonal nonnegative matrix factorization algorithms with robust convergence proofs. We design the algorithms based on the work of Lee and Seung [1], and derive the converged versions by utilizing ideas from the work of Lin [2]. The experimental results confirm the theoretica... | {
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1010.5291 | New Class of Optimal Frequency-Hopping Sequences by Polynomial Residue
Class Rings | [
"cs.IT",
"math.IT"
] | In this paper, using the theory of polynomial residue class rings, a new construction is proposed for frequency hopping patterns having optimal Hamming autocorrelation with respect to the well-known $Lempel$-$Greenberger$ bound. Based on the proposed construction, many new $Peng$-$Fan$ optimal families of frequency hop... | {
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1010.5308 | Proceedings Third Interaction and Concurrency Experience: Guaranteed
Interaction | [
"cs.LO",
"cs.DC",
"cs.MA"
] | This volume contains the proceedings of the 3rd Interaction and Concurrency Experience (ICE 2010) workshop, which was held in Amsterdam, Netherlands on 10th of June 2010 as a satellite event of DisCoTec'10. Each year, the workshop focuses on a specific topic: the topic of ICE 2010 was Guaranteed Interactions, by which ... | {
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1010.5377 | Estimating Network Parameters for Selecting Community Detection
Algorithms | [
"cs.SI",
"physics.soc-ph"
] | This paper considers the problem of algorithm selection for community detection. The aim of community detection is to identify sets of nodes in a network which are more interconnected relative to their connectivity to the rest of the network. A large number of algorithms have been developed to tackle this problem, but ... | {
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1010.5382 | It takes half the energy of a photon to send one bit reliably on the
Poisson channel with feedback | [
"cs.IT",
"math.IT"
] | We consider the transmission of a single bit over the continuous-time Poisson channel with noiseless feedback. We show that to send the bit reliably requires, on the average, half the energy of a photon. In the absence of peak-power constraints this holds irrespective of the intensity of the dark current. We also solve... | {
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1010.5388 | Helstrom's Theory on Quantum Binary Decision Revisited | [
"cs.IT",
"math.IT",
"quant-ph"
] | For a binary system specified by the density operators r0 and r1 and by the prior probabilities q0 and q1, Helstrom's theory permits the evaluation of the optimal measurement operators and of the corresponding maximum correct detection probability. The theory is based on the eigendecomposition (EID) of the operator, gi... | {
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1010.5412 | On optimizing over lift-and-project closures | [
"cs.RO",
"math.OC"
] | The lift-and-project closure is the relaxation obtained by computing all lift-and-project cuts from the initial formulation of a mixed integer linear program or equivalently by computing all mixed integer Gomory cuts read from all tableau's corresponding to feasible and infeasible bases. In this paper, we present an al... | {
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1010.5416 | Capacity of Fading Gaussian Channel with an Energy Harvesting Sensor
Node | [
"cs.IT",
"math.IT"
] | Network life time maximization is becoming an important design goal in wireless sensor networks. Energy harvesting has recently become a preferred choice for achieving this goal as it provides near perpetual operation. We study such a sensor node with an energy harvesting source and compare various architectures by whi... | {
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1010.5426 | Translation-Invariant Representation for Cumulative Foot Pressure Images | [
"cs.AI"
] | Human can be distinguished by different limb movements and unique ground reaction force. Cumulative foot pressure image is a 2-D cumulative ground reaction force during one gait cycle. Although it contains pressure spatial distribution information and pressure temporal distribution information, it suffers from several ... | {
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1010.5445 | Theory and Applications of Robust Optimization | [
"math.OC",
"cs.CE"
] | In this paper we survey the primary research, both theoretical and applied, in the area of Robust Optimization (RO). Our focus is on the computational attractiveness of RO approaches, as well as the modeling power and broad applicability of the methodology. In addition to surveying prominent theoretical results of RO, ... | {
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1010.5470 | Resource-bounded Dimension in Computational Learning Theory | [
"cs.CC",
"cs.LG"
] | This paper focuses on the relation between computational learning theory and resource-bounded dimension. We intend to establish close connections between the learnability/nonlearnability of a concept class and its corresponding size in terms of effective dimension, which will allow the use of powerful dimension techniq... | {
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1010.5478 | Consequences of fluctuating group size for the evolution of cooperation | [
"q-bio.PE",
"cs.SI",
"physics.soc-ph"
] | Studies of cooperation have traditionally focused on discrete games such as the well-known prisoner's dilemma, in which players choose between two pure strategies: cooperation and defection. Increasingly, however, cooperation is being studied in continuous games that feature a continuum of strategies determining the le... | {
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1010.5497 | Multiparty Equality Function Computation in Networks with Point-to-Point
Links | [
"cs.IT",
"cs.DC",
"math.IT"
] | In this report, we study the multiparty communication complexity problem of the multiparty equality function (MEQ): EQ(x_1,...,x_n) = 1 if x_1=...=x_n, and 0 otherwise. The input vector (x_1,...,x_n) is distributed among n>=2 nodes, with x_i known to node i, where x_i is chosen from the set {1,...,M}, for some integer ... | {
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1010.5504 | On the Convexity of Latent Social Network Inference | [
"cs.SI",
"physics.soc-ph"
] | In many real-world scenarios, it is nearly impossible to collect explicit social network data. In such cases, whole networks must be inferred from underlying observations. Here, we formulate the problem of inferring latent social networks based on network diffusion or disease propagation data. We consider contagions pr... | {
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1010.5506 | Dualities and Identities for Entanglement-Assisted Quantum Codes | [
"quant-ph",
"cs.IT",
"math.IT"
] | The dual of an entanglement-assisted quantum error-correcting (EAQEC) code is the code resulting from exchanging the original code's information qubits with its ebits. To introduce this notion, we show how entanglement-assisted (EA) repetition codes and accumulator codes are dual to each other, much like their classica... | {
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1010.5511 | Efficient Minimization of Decomposable Submodular Functions | [
"cs.LG",
"math.OC"
] | Many combinatorial problems arising in machine learning can be reduced to the problem of minimizing a submodular function. Submodular functions are a natural discrete analog of convex functions, and can be minimized in strongly polynomial time. Unfortunately, state-of-the-art algorithms for general submodular minimizat... | {
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1010.5524 | Analysis of 1-bit Output Noncoherent Fading Channels in the Low SNR
Regime | [
"cs.IT",
"math.IT"
] | We consider general multi-antenna fading channels with coarsely quantized outputs, where the channel is unknown to the transmitter and receiver. This analysis is of interest in the context of sensor network communication where low power and low cost are key requirements (e.g. standard IEEE 802.15.4 applications). This ... | {
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1010.5526 | Achieving near-Capacity on Large Discrete Memoryless Channels | [
"cs.IT",
"math.IT"
] | We propose a method to increase the capacity achieved by uniform prior in discrete memoryless channels (DMC) with high input cardinality. It consists in appropriately reducing the input set. Different design criteria of the input subset are discussed. We develop an efficient algorithm to solve this problem based on the... | {
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1010.5529 | Belief Propagation based MIMO Detection Operating on Quantized Channel
Output | [
"cs.IT",
"math.IT"
] | In multiple-antenna communications, as bandwidth and modulation order increase, system components must work with demanding tolerances. In particular, high resolution and high sampling rate analog-to-digital converters (ADCs) are often prohibitively challenging to design. Therefore ADCs for such applications should be l... | {
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1010.5532 | Multiple Parameter Estimation With Quantized Channel Output | [
"cs.IT",
"math.IT"
] | We present a general problem formulation for optimal parameter estimation based on quantized observations, with application to antenna array communication and processing (channel estimation, time-of-arrival (TOA) and direction-of-arrival (DOA) estimation). The work is of interest in the case when low resolution A/D-con... | {
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1010.5537 | Using entropy measures for comparison of software traces | [
"cs.SE",
"cs.IT",
"math.IT"
] | The analysis of execution paths (also known as software traces) collected from a given software product can help in a number of areas including software testing, software maintenance and program comprehension. The lack of a scalable matching algorithm operating on detailed execution paths motivates the search for an al... | {
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1010.5545 | Many Roads to Synchrony: Natural Time Scales and Their Algorithms | [
"nlin.CD",
"cs.FL",
"cs.IT",
"math.DS",
"math.IT"
] | We consider two important time scales---the Markov and cryptic orders---that monitor how an observer synchronizes to a finitary stochastic process. We show how to compute these orders exactly and that they are most efficiently calculated from the epsilon-machine, a process's minimal unifilar model. Surprisingly, though... | {
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1010.5562 | Fast Continuous Haar and Fourier Transforms of Rectilinear Polygons from
VLSI Layouts | [
"cs.CE",
"cs.CG",
"cs.DS"
] | We develop the pruned continuous Haar transform and the fast continuous Fourier series, two fast and efficient algorithms for rectilinear polygons. Rectilinear polygons are used in VLSI processes to describe design and mask layouts of integrated circuits. The Fourier representation is at the heart of many of these proc... | {
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1010.5584 | A derivational rephrasing experiment for question answering | [
"cs.IR"
] | In Knowledge Management, variations in information expressions have proven a real challenge. In particular, classical semantic relations (e.g. synonymy) do not connect words with different parts-of-speech. The method proposed tries to address this issue. It consists in building a derivational resource from a morphologi... | {
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1010.5608 | A Generalized Coupon Collector Problem | [
"cs.IT",
"cs.DM",
"cs.PF",
"math.IT"
] | This paper provides analysis to a generalized version of the coupon collector problem, in which the collector gets $d$ distinct coupons each run and she chooses the one that she has the least so far. On the asymptotic case when the number of coupons $n$ goes to infinity, we show that on average $\frac{n\log n}{d} + \fr... | {
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1010.5610 | Selective Image Super-Resolution | [
"cs.CV"
] | In this paper we propose a vision system that performs image Super Resolution (SR) with selectivity. Conventional SR techniques, either by multi-image fusion or example-based construction, have failed to capitalize on the intrinsic structural and semantic context in the image, and performed "blind" resolution recovery ... | {
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1010.5644 | Fast-Decodable Asymmetric Space-Time Codes from Division Algebras | [
"cs.IT",
"math.IT",
"math.RA"
] | Multiple-input double-output (MIDO) codes are important in the near-future wireless communications, where the portable end-user device is physically small and will typically contain at most two receive antennas. Especially tempting is the 4 x 2 channel due to its immediate applicability in the digital video broadcastin... | {
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1010.5661 | The Wideband Slope of Interference Channels: The Large Bandwidth Case | [
"cs.IT",
"math.IT"
] | It is well known that minimum received energy per bit in the interference channel is -1.59dB as if there were no interference. Thus, the best way to mitigate interference is to operate the interference channel in the low-SNR regime. However, when the SNR is small but non-zero, minimum energy per bit alone does not char... | {
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1010.5691 | A Bio-Inspired Robust Adaptive Random Search Algorithm for Distributed
Beamforming | [
"cs.IT",
"math.IT"
] | A bio-inspired robust adaptive random search algorithm (BioRARSA), designed for distributed beamforming for sensor and relay networks, is proposed in this work. It has been shown via a systematic framework that BioRARSA converges in probability and its convergence time scales linearly with the number of distributed tra... | {
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1010.5694 | Events! (Reactivity in urbiscript) | [
"cs.PL",
"cs.RO"
] | Urbi SDK is a software platform for the development of portable robotic applications. It features the Urbi UObject C++ middleware, to manage hardware drivers and/or possibly remote software components, and urbiscript, a domain specific programming language to orchestrate them. Reactivity is a key feature of Urbi SDK, e... | {
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1010.5720 | Information-theoretic inference of common ancestors | [
"cs.IT",
"math.IT"
] | A directed acyclic graph (DAG) partially represents the conditional independence structure among observations of a system if the local Markov condition holds, that is, if every variable is independent of its non-descendants given its parents. In general, there is a whole class of DAGs that represents a given set of con... | {
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1010.5734 | Exploiting Statistical Dependencies in Sparse Representations for Signal
Recovery | [
"cs.IT",
"math.IT"
] | Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in which the signal is assumed to be generated as a combination of a few atoms from a given dictionary. In this work we consider a Bayesian se... | {
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1010.5742 | Stochastic Verification Theorem of Forward-Backward Controlled Systems
for Viscosity Solutions | [
"math.OC",
"cs.SY"
] | In this paper, we investigate the controlled system described by forward-backward stochastic differential equations with the control contained in drift, diffusion and generator of BSDE. A new verification theorem is derived within the framework of viscosity solutions without involving any derivatives of the value funct... | {
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1010.5764 | (2,1)-separating systems beyond the probabilistic bound | [
"math.CO",
"cs.IT",
"math.AG",
"math.IT"
] | Building on previous results of Xing, we give new lower bounds on the rate of intersecting codes over large alphabets. The proof is constructive, and uses algebraic geometry, although nothing beyond the basic theory of linear systems on curves. Then, using these new bounds within a concatenation argument, we construct ... | {
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1010.5771 | Reward and cooperation in the spatial public goods game | [
"physics.soc-ph",
"cs.SI"
] | The promise of punishment and reward in promoting public cooperation is debatable. While punishment is traditionally considered more successful than reward, the fact that the cost of punishment frequently fails to offset gains from enhanced cooperation has lead some to reconsider reward as the main catalyst behind coll... | {
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1010.5793 | Percolation in self-similar networks | [
"cond-mat.dis-nn",
"cs.SI",
"physics.soc-ph"
] | We provide a simple proof that graphs in a general class of self-similar networks have zero percolation threshold. The considered self-similar networks include random scale-free graphs with given expected node degrees and zero clustering, scale-free graphs with finite clustering and metric structure, growing scale-free... | {
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1010.5806 | Inner and Outer Bounds for the Gaussian Cognitive Interference Channel
and New Capacity Results | [
"cs.IT",
"math.IT"
] | The capacity of the Gaussian cognitive interference channel, a variation of the classical two-user interference channel where one of the transmitters (referred to as cognitive) has knowledge of both messages, is known in several parameter regimes but remains unknown in general. In this paper we provide a comparative ov... | {
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1010.5829 | Robustness of a Network of Networks | [
"physics.data-an",
"cs.SI",
"physics.soc-ph"
] | Almost all network research has been focused on the properties of a single network that does not interact and depends on other networks. In reality, many real-world networks interact with other networks. Here we develop an analytical framework for studying interacting networks and present an exact percolation law for a... | {
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1010.5891 | A new muscle fatigue and recovery model and its ergonomics application
in human simulation | [
"cs.RO"
] | Although automatic techniques have been employed in manufacturing industries to increase productivity and efficiency, there are still lots of manual handling jobs, especially for assembly and maintenance jobs. In these jobs, musculoskeletal disorders (MSDs) are one of the major health problems due to overload and cumul... | {
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1010.5938 | Stable Takens' Embeddings for Linear Dynamical Systems | [
"cs.SY",
"cs.IT",
"math.DS",
"math.IT",
"math.OC"
] | Takens' Embedding Theorem remarkably established that concatenating M previous outputs of a dynamical system into a vector (called a delay coordinate map) can be a one-to-one mapping of a low-dimensional attractor from the system state space. However, Takens' theorem is fragile in the sense that even small imperfection... | {
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1010.5943 | Random Graph Generator for Bipartite Networks Modeling | [
"cs.AI",
"cs.SI",
"physics.soc-ph"
] | The purpose of this article is to introduce a new iterative algorithm with properties resembling real life bipartite graphs. The algorithm enables us to generate wide range of random bigraphs, which features are determined by a set of parameters.We adapt the advances of last decade in unipartite complex networks modeli... | {
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} |
1010.5954 | Random Graphs for Performance Evaluation of Recommender Systems | [
"cs.AI",
"cs.SI",
"physics.soc-ph"
] | The purpose of this article is to introduce a new analytical framework dedicated to measuring performance of recommender systems. The standard approach is to assess the quality of a system by means of accuracy related statistics. However, the specificity of the environments in which recommender systems are deployed req... | {
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1010.5990 | The Nature of Explosive Percolation Phase Transition | [
"cond-mat.dis-nn",
"cond-mat.stat-mech",
"cs.SI",
"physics.soc-ph"
] | In this Letter, we show that the explosive percolation is a novel continuous phase transition. The order-parameter-distribution histogram at the percolation threshold is studied in Erd\H{o}s-R\'{e}nyi networks, scale-free networks, and square lattice. In finite system, two well-defined Gaussian-like peaks coexist, and ... | {
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1010.6020 | The Effect of Spatial Coupling on Compressive Sensing | [
"cs.IT",
"math.IT"
] | Recently, it was observed that spatially-coupled LDPC code ensembles approach the Shannon capacity for a class of binary-input memoryless symmetric (BMS) channels. The fundamental reason for this was attributed to a "threshold saturation" phenomena derived by Kudekar, Richardson and Urbanke. In particular, it was shown... | {
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1010.6032 | Recurrence-based time series analysis by means of complex network
methods | [
"nlin.CD",
"cs.SI",
"physics.data-an",
"physics.soc-ph"
] | Complex networks are an important paradigm of modern complex systems sciences which allows quantitatively assessing the structural properties of systems composed of different interacting entities. During the last years, intensive efforts have been spent on applying network-based concepts also for the analysis of dynami... | {
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1010.6057 | Ergodic Secret Alignment | [
"cs.IT",
"cs.CR",
"math.IT"
] | In this paper, we introduce two new achievable schemes for the fading multiple access wiretap channel (MAC-WT). In the model that we consider, we assume that perfect knowledge of the state of all channels is available at all the nodes in a causal fashion. Our schemes use this knowledge together with the time varying na... | {
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1010.6091 | Network motifs in music sequences | [
"physics.soc-ph",
"cs.CL",
"physics.data-an"
] | This paper has been withdrawn by the author because it needs a deep methodological revision. | {
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1010.6096 | Multi-Sensor Fuzzy Data Fusion Using Sensors with Different
Characteristics | [
"eess.SY",
"cs.SY"
] | This paper proposes a new approach to multi-sensor data fusion. It suggests that aggregation of data from multiple sensors can be done more efficiently when we consider information about sensors' different characteristics. Similar to most research on effective sensors' characteristics, especially in control systems, ou... | {
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1010.6148 | On a small-gain approach to distributed event-triggered control | [
"math.OC",
"cs.SY"
] | In this paper the problem of stabilizing large-scale systems by distributed controllers, where the controllers exchange information via a shared limited communication medium is addressed. Event-triggered sampling schemes are proposed, where each system decides when to transmit new information across the network based o... | {
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1010.6165 | Sampling of operators | [
"math.FA",
"cs.IT",
"math.CA",
"math.IT"
] | Sampling and reconstruction of functions is a central tool in science. A key result is given by the sampling theorem for bandlimited functions attributed to Whittaker, Shannon, Nyquist, and Kotelnikov. We develop an analogous sampling theory for operators which we call bandlimited if their Kohn-Nirenberg symbols are ba... | {
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1010.6178 | Fractionally Predictive Spiking Neurons | [
"q-bio.NC",
"cs.NE"
] | Recent experimental work has suggested that the neural firing rate can be interpreted as a fractional derivative, at least when signal variation induces neural adaptation. Here, we show that the actual neural spike-train itself can be considered as the fractional derivative, provided that the neural signal is approxima... | {
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1010.6214 | The assembly modes of rigid 11-bar linkages | [
"cs.RO",
"cs.SC"
] | Designing an m-bar linkage with a maximal number of assembly modes is important in robot kinematics, and has further applications in structural biology and computational geometry. A related question concerns the number of assembly modes of rigid mechanisms as a function of their nodes n, which is uniquely defined given... | {
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1010.6234 | Analysing the behaviour of robot teams through relational sequential
pattern mining | [
"cs.AI",
"cs.LG",
"cs.MA"
] | This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of the team members to work together to achieve a common goal in a cooperative manner. The aim is to define a systematic method to verify the ... | {
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1010.6242 | GraphDuplex: visualisation simultan\'ee de N r\'eseaux coupl\'es 2 par 2 | [
"cs.IR"
] | While social network analysis often focuses on graph structure of social actors, an increasing number of communication networks now provide textual content within social activity (email, instant messaging, blogging, collaboration networks). We present an open source visualization software, GraphDuplex, which brings tog... | {
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1010.6247 | Symmetry in Shannon's Noiseless Coding Theorem | [
"cs.IT",
"math.IT"
] | Statements of Shannon's Noiseless Coding Theorem by various authors, including the original, are reviewed and clarified. Traditional statements of the theorem are often unclear as to when it applies. A new notation is introduced and the domain of application is clarified. An examination of the bounds of the Theorem lea... | {
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1010.6255 | On the Capacity of the 2-user Gaussian MAC Interfering with a P2P Link | [
"cs.IT",
"math.IT"
] | A multiple access channel and a point-to-point channel sharing the same medium for communications are considered. We obtain an outer bound for the capacity region of this setup, and we show that this outer bound is achievable in some cases. These cases are mainly when interference is strong or very strong. A sum capaci... | {
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1010.6280 | Optimum Transmission Policies for Battery Limited Energy Harvesting
Nodes | [
"cs.IT",
"math.IT"
] | Wireless networks with energy harvesting battery powered nodes are quickly emerging as a viable option for future wireless networks with extended lifetime. Equally important to their counterpart in the design of energy harvesting radios are the design principles that this new networking paradigm calls for. In particula... | {
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1010.6290 | Symmetric Capacity of the Gaussian Interference Channel with an
Out-of-Band Relay to within 1.15 Bits | [
"cs.IT",
"math.IT"
] | This work studies the Gaussian interference channel (IC) with a relay, which transmits and receives in a band that is orthogonal to the IC. The channel associated with the relay is thus an out-of-band relay channel (OBRC). The focus is on a symmetric channel model, in order to assess the fundamental impact of the OBRC ... | {
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1011.0027 | Joint Scheduling and Resource Allocation in the OFDMA Downlink: Utility
Maximization under Imperfect Channel-State Information | [
"cs.IT",
"cs.NI",
"math.IT"
] | We consider the problem of simultaneous user-scheduling, power-allocation, and rate-selection in an OFDMA downlink, with the goal of maximizing expected sum-utility under a sum-power constraint. In doing so, we consider a family of generic goodput-based utilities that facilitate, e.g., throughput-based pricing, quality... | {
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1011.0041 | Predictive State Temporal Difference Learning | [
"cs.LG",
"cs.AI"
] | We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications, reinforcement learning (RL) is complicated by the fact that state is either high-dimensional or partially observable. Therefore, RL methods ... | {
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1011.0051 | Proceedings Fourth Workshop on Membrane Computing and Biologically
Inspired Process Calculi 2010 | [
"cs.LO",
"cs.CE",
"cs.DC"
] | The 4th Workshop on Membrane Computing and Biologically Inspired Process Calculi (MeCBIC 2010) is organized in Jena as a satellite event of the Eleventh International Conference on Membrane Computing (CMC11). Biological membranes play a fundamental role in the complex reactions which take place in cells of living organ... | {
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1011.0093 | Fast Color Quantization Using Weighted Sort-Means Clustering | [
"cs.CV",
"cs.GR"
] | Color quantization is an important operation with numerous applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorithms. However, despite its popularity as a general purpose clustering algorithm, k-means has not received much respect in the color quantizat... | {
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1011.0097 | Sparse Inverse Covariance Selection via Alternating Linearization
Methods | [
"cs.LG",
"math.OC",
"stat.ML"
] | Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse covariance matrix of the Gaussian distribution, one can learn the structure of the graph by estimating a sparse inverse covariance matrix from... | {
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1011.0098 | Qualitative Reasoning about Relative Direction on Adjustable Levels of
Granularity | [
"cs.AI"
] | An important issue in Qualitative Spatial Reasoning is the representation of relative direction. In this paper we present simple geometric rules that enable reasoning about relative direction between oriented points. This framework, the Oriented Point Algebra OPRA_m, has a scalable granularity m. We develop a simple al... | {
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1011.0187 | A Distributed AI Aided 3D Domino Game | [
"cs.AI"
] | In the article a turn-based game played on four computers connected via network is investigated. There are three computers with natural intelligence and one with artificial intelligence. Game table is seen by each player's own view point in all players' monitors. Domino pieces are three dimensional. For distributed sys... | {
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1011.0190 | Prunnig Algorithm of Generation a Minimal Set of Rule Reducts Based on
Rough Set Theory | [
"cs.AI"
] | In this paper it is considered rule reduct generation problem, based on Rough Set Theory. Rule Reduct Generation (RG) and Modified Rule Generation (MRG) algorithms are well-known. Alternative to these algorithms Pruning Algorithm of Generation A Minimal Set of Rule Reducts, or briefly Pruning Rule Generation (PRG) algo... | {
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1011.0208 | Network Diversity and Economic Development: a Comment | [
"cs.SI",
"physics.soc-ph"
] | Network diversity yields context-dependent benefits that are not yet fully-understood. I elaborate on a recently introduced distinction between tie strength diversity and information source diversity, and explain when, how, and why they matter. The issue whether there are benefits to specialization is the key. | {
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1011.0233 | Reasoning about Cardinal Directions between Extended Objects: The
Hardness Result | [
"cs.AI"
] | The cardinal direction calculus (CDC) proposed by Goyal and Egenhofer is a very expressive qualitative calculus for directional information of extended objects. Early work has shown that consistency checking of complete networks of basic CDC constraints is tractable while reasoning with the CDC in general is NP-hard. T... | {
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1011.0234 | Cascade of failures in coupled network systems with multiple
support-dependent relations | [
"physics.data-an",
"cs.SI",
"nlin.CD",
"physics.soc-ph"
] | We study, both analytically and numerically, the cascade of failures in two coupled network systems A and B, where multiple support-dependent relations are randomly built between nodes of networks A and B. In our model we assume that each node in one network can function only if it has at least a single support node in... | {
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1011.0250 | Delineation of Raw Plethysmograph using Wavelets for Mobile based Pulse
Oximeters | [
"cs.CE"
] | The non-invasive pulse-oximeter is a crucial parameter in continuous monitoring systems. It plays a vital role from admission of the patient to surgeries with general anaesthesia. The paper proposes the application of wavelet transform to delineate the raw plethysmograph signals obtained from basic portable and mobile-... | {
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1011.0271 | Spontaneous Formation of Dynamical Groups in an Adaptive Networked
System | [
"cond-mat.dis-nn",
"cs.SI",
"nlin.AO",
"physics.soc-ph"
] | In this work, we investigate a model of an adaptive networked dynamical system, where the coupling strengths among phase oscillators coevolve with the phase states. It is shown that in this model the oscillators can spontaneously differentiate into two dynamical groups after a long time evolution. Within each group, th... | {
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1011.0279 | Mobile Based Secure Digital Wallet for Peer to Peer Payment System | [
"cs.CE"
] | E-commerce in today's conditions has the highest dependence on network infrastructure of banking. However, when the possibility of communicating with the Banking network is not provided, business activities will suffer. This paper proposes a new approach of digital wallet based on mobile devices without the need to exc... | {
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"cs.SI": 0,
"cs.SY": 0
} |
1011.0298 | Intuitionistic Fuzzy Ideal Extensions of {\Gamma}-Semigroups | [
"cs.IT",
"math.IT"
] | In this paper the concept of the extensions of intuitionistic fuzzy ideals in a semigroup has been extended to a {\Gamma}-Semigroups. Among other results characterization of prime ideals in a {\Gamma}-Semigroups in terms of intuitionistic fuzzy ideal extension has been obtained. | {
"Other": 0,
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} |
1011.0306 | Semantic Query Optimisation with Ontology Simulation | [
"cs.IR"
] | Semantic Web is, without a doubt, gaining momentum in both industry and academia. The word "Semantic" refers to "meaning" - a semantic web is a web of meaning. In this fast changing and result oriented practical world, gone are the days where an individual had to struggle for finding information on the Internet where k... | {
"Other": 0,
"cs.AI": 0,
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"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1011.0328 | Mining Frequent Itemsets Using Genetic Algorithm | [
"cs.DB"
] | In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm etc., which take too much computer time to compute all the frequent itemsets. By using Genetic Algorithm (GA) we can improve the scenario. ... | {
"Other": 0,
"cs.AI": 0,
"cs.CE": 0,
"cs.CL": 0,
"cs.CR": 0,
"cs.CV": 0,
"cs.CY": 0,
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"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1011.0330 | Imitation learning of motor primitives and language bootstrapping in
robots | [
"cs.AI"
] | Imitation learning in robots, also called programing by demonstration, has made important advances in recent years, allowing humans to teach context dependant motor skills/tasks to robots. We propose to extend the usual contexts investigated to also include acoustic linguistic expressions that might denote a given moto... | {
"Other": 0,
"cs.AI": 1,
"cs.CE": 0,
"cs.CL": 0,
"cs.CR": 0,
"cs.CV": 0,
"cs.CY": 0,
"cs.DB": 0,
"cs.HC": 0,
"cs.IR": 0,
"cs.IT": 0,
"cs.LG": 0,
"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1011.0338 | Effects of Sequence Partitioning on Compression Rate | [
"cs.IT",
"math.IT"
] | In the paper, a theoretical work is done for investigating effects of splitting data sequence into packs of data set. We proved that a partitioning of data sequence is possible to find such that the entropy rate at each subsequence is lower than entropy rate of the source. Effects of sequence partitioning on overall co... | {
"Other": 0,
"cs.AI": 0,
"cs.CE": 0,
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"cs.CR": 0,
"cs.CV": 0,
"cs.CY": 0,
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"cs.IR": 0,
"cs.IT": 1,
"cs.LG": 0,
"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1011.0350 | Developing courses with HoloRena, a framework for scenario- and game
based e-learning environments | [
"cs.LG",
"cs.HC",
"cs.SE"
] | However utilizing rich, interactive solutions can make learning more effective and attractive, scenario- and game-based educational resources on the web are not widely used. Creating these applications is a complex, expensive and challenging process. Development frameworks and authoring tools hardly support reusable co... | {
"Other": 1,
"cs.AI": 0,
"cs.CE": 0,
"cs.CL": 0,
"cs.CR": 0,
"cs.CV": 0,
"cs.CY": 0,
"cs.DB": 0,
"cs.HC": 1,
"cs.IR": 0,
"cs.IT": 0,
"cs.LG": 1,
"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1011.0362 | Optimization of artificial flockings by means of anisotropy measurements | [
"physics.bio-ph",
"cs.AI",
"nlin.AO"
] | An effective procedure to determine the optimal parameters appearing in artificial flockings is proposed in terms of optimization problems. We numerically examine genetic algorithms (GAs) to determine the optimal set of parameters such as the weights for three essential interactions in BOIDS by Reynolds (1987) under `z... | {
"Other": 0,
"cs.AI": 1,
"cs.CE": 0,
"cs.CL": 0,
"cs.CR": 0,
"cs.CV": 0,
"cs.CY": 0,
"cs.DB": 0,
"cs.HC": 0,
"cs.IR": 0,
"cs.IT": 0,
"cs.LG": 0,
"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1011.0397 | Efficient Approximation of Optimal Control for Markov Games | [
"cs.GT",
"cs.SY",
"math.OC"
] | We study the time-bounded reachability problem for continuous-time Markov decision processes (CTMDPs) and games (CTMGs). Existing techniques for this problem use discretisation techniques to break time into discrete intervals, and optimal control is approximated for each interval separately. Current techniques provide ... | {
"Other": 1,
"cs.AI": 0,
"cs.CE": 0,
"cs.CL": 0,
"cs.CR": 0,
"cs.CV": 0,
"cs.CY": 0,
"cs.DB": 0,
"cs.HC": 0,
"cs.IR": 0,
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"cs.LG": 0,
"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 1
} |
1011.0404 | A New Email Retrieval Ranking Approach | [
"cs.IR"
] | Email Retrieval task has recently taken much attention to help the user retrieve the email(s) related to the submitted query. Up to our knowledge, existing email retrieval ranking approaches sort the retrieved emails based on some heuristic rules, which are either search clues or some predefined user criteria rooted in... | {
"Other": 0,
"cs.AI": 0,
"cs.CE": 0,
"cs.CL": 0,
"cs.CR": 0,
"cs.CV": 0,
"cs.CY": 0,
"cs.DB": 0,
"cs.HC": 0,
"cs.IR": 1,
"cs.IT": 0,
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"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
1011.0415 | Learning Networks of Stochastic Differential Equations | [
"math.ST",
"cond-mat.stat-mech",
"cs.IT",
"cs.LG",
"math.IT",
"stat.TH"
] | We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the dynamics. We tackle the problem of learning such a network from observation of the system trajectory over a time interval $T$. We analyze th... | {
"Other": 0,
"cs.AI": 0,
"cs.CE": 0,
"cs.CL": 0,
"cs.CR": 0,
"cs.CV": 0,
"cs.CY": 0,
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"cs.IR": 0,
"cs.IT": 1,
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"cs.MA": 0,
"cs.NE": 0,
"cs.RO": 0,
"cs.SD": 0,
"cs.SI": 0,
"cs.SY": 0
} |
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