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Contents
Preface | Part V | Implementation | |
Part I | Cognitive Science | Part VI | Speech and Signal Processing |
Part II | Neuroscience | Part VII | Visual Processing |
Part III | Theory | Part VIII | Applications |
Part IV | Algorithms and Architectures | Part IX | Control, Navigation and Planning |
NEW: Download nips14.bib file with all bibligraphy entries including page numbers.
All papers should be cited as: in T. G. Dietterich, S. Becker, and Z. Ghahramani (eds.) Advances in Neural Information Processing Systems 14. MIT Press, Cambridge, MA, 2002.
Contact MIT Press to place an order for a hardcopy of this book.
> | A. C. Courville and D. S. Touretzky |
65KB 71KB |
"Modeling Temporal Structure in Classical Conditioning" |
> | P. Dayan |
91KB 307KB |
"Motivated Reinforcement Learning" |
> | S. Edelman, B. P. Hiles, H. Yang and N. Intrator |
163KB 200KB |
"Probabilistic principles in unsupervised learning of visual structure: human data and a model" |
> | D. Jacobs, B. Rokers, A. Rudra, and Z. Liu |
65KB 32KB |
"Fragment Completion in Humans and Machines" |
> | D. Klein and C. D. Manning |
82KB 62KB |
"Natural Language Grammar Induction Using a Constituent-Context Model" |
> | M. Kositsky and A. G. Barto |
59KB 46KB |
"Emergence of Multiple Movement Units in the Presence of Noise and Feedback Delay" |
> | M. C. Mozer, M. D. Colagrosso, and D. E. Huber |
65KB 66KB |
"A Rational Analysis of Cognitive Control in a Speeded Discrimination Task" |
> | S. Narayanan and D. Jurafsky |
70KB 47KB |
"A Bayesian Model Predicts Human Parse Preference and Reading Times in Sentence Processing" |
> | M. Negishi and S. J. Hanson |
67KB 227KB |
"Grammar Transfer in a Second Order Recurrent Neural Network" |
> | R. C. O'Reilly and R. S. Busby |
101KB 158KB |
"Generalizable Relational Binding from Coarse-coded Distributed Representations" |
> | R. C. O'Reilly and R. Soto |
87KB 179KB |
"A Model of the Phonological Loop: Generalization and Binding" |
> | M. A. Paskin |
61KB 65KB |
"Grammatical Bigrams" |
> | B. Rehder |
67KB 156KB |
"Causal Categorization with Bayes Nets" |
> | W. Ruml |
65KB 42KB |
"Constructing Distributed Representations Using Additive Clustering" |
> | J. L. Shapiro and J. Wearden |
62KB 74KB |
"Reinforcement Learning and Time Perception -- a Model of Animal Experiments" |
> | D. Yarlett and M. Ramscar |
63KB 34KB |
"A Quantitative Model of Counterfactual Reasoning" |
> | G. A. Ascoli and A. V. Samsonovich |
87KB 166KB |
"Bayesian morphometry of hippocampal cells suggests same-cell somatodendritic repulsion" |
> | A. d'Avella and M. C. Tresch |
74KB 56KB |
"Modularity in the motor system: decomposition of muscle patterns as combinations of time-varying synergies" |
> | J. A. Beintema, A. V. v. d. Berg, and M. Lappe |
63KB 102KB |
"Receptive field structure of flow detectors for heading perception" |
> | B. Blankertz, G. Curio, and K.-R. Müller |
93KB 74KB |
"Classifying Single Trial EEG: Towards Brain Computer Interfacing" |
> | N. Burgess and T. Hartley |
86KB 541KB |
"Orientational and Geometric Determinants of Place and Head-direction" |
> | G. Chechik, A. Globerson, M.J. Anderson, E.D. Young, I. Nelken, and N. Tishby |
79KB 85KB |
"Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway" |
> | H. Colonius and A. Diederich |
52KB 54KB |
"A Maximum-Likelihood Approach to Modeling Multisensory Enhancement" |
> | P. Dayan and A. J. Yu |
79KB 110KB |
"ACh, Uncertainty, and Cortical Inference" |
> | O. Donchin and R. Shadmehr |
71KB 152KB |
"Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field" |
> | J. Eggert and B. Bäuml |
67KB 109KB |
"Exact differential equation population dynamics for integrate-and-fire neurons" |
> | Y. Gao, M. J. Black, E. Bienenstock, S. Shoham, and J. P. Donoghue |
144KB 1211KB |
"Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex" |
> | R. Hahnloser, X. Xie, and S. Seung |
54KB 39KB |
"A theory of neural integration in the head-direction system" |
> | A. Kepecs and S. Raghavachari |
66KB 157KB |
"3 state neurons for contextual processing" |
> | P.E. Latham |
60KB 115KB |
"Associative memory in realistic neuronal networks" |
> | N. Matsumoto and M. Okada |
61KB 629KB |
"Self-regulation Mechanism of Temporally Asymmetric Hebbian Plasticity" |
> | H. Nakahara and S.I. Amari |
72KB 105KB |
"Information-Geometric Decomposition in Spike Analysis" |
> | M. Rucci and A. Casile |
68KB 57KB |
"Eye movements and the maturation of cortical orientation selectivity" |
> | O. Schwartz, E. J. Chichilnisky and E. Simoncelli |
108KB 2213KB |
"Characterizing Neural Gain Control using Spike-triggered Covariance" |
> | M. Shamir and H. Sompolinsky |
59KB 46KB |
"Correlation Codes in Neuronal Populations" |
> | J. Tegnér and A. Kepecs |
74KB 90KB |
"Why Neuronal Dynamics Should Control Synaptic Learning Rules" |
> | T. P. Trappenberg, E. T. Rolls, and S. M. Stringer |
64KB 170KB |
"Effective Size of Receptive Fields of Inferior Temporal Visual Cortex in Natural Scenes" |
> | G. Wenning and K. Obermayer |
72KB 90KB |
"Activity Driven Adaptive Stochastic Resonance" |
> | B. D. Wright, K. Sen, W. Bialek and A. J. Doupe |
65KB 409KB |
"Spike timing and the coding of naturalistic sounds in a central auditory area of songbirds" |
> | S. Wu and S. Amari |
50KB 50KB |
"Neural Implementation of Bayesian Inference in Population Codes" |
> | X. Xie and M. Giese |
81KB 154KB |
"Generating velocity tuning by asymmetric recurrent connections" |
> | D. Achlioptas, F. McSherry, and B. Schölkopf |
66KB 42KB |
"Sampling Techniques for Kernel Methods" |
> | S. Amari, H. Park, and T. Ozeki |
50KB 64KB |
"Geometrical Singularities in the Neuromanifold of Multilayer Perceptrons" |
> | M. L. Braun and J. M. Buhmann |
74KB 137KB |
"The Noisy Euclidean Traveling Salesman Problem and Learning" |
> | N. Cesa-Bianchi, A. Conconi, and C. Gentile |
63KB 45KB |
"On the Generalization Ability of On-Line Learning Algorithms" |
> | N. Cristianini, J. Shawe-Taylor, A. Elisseeff, and J. Kandola |
58KB 57KB |
"On Kernel-Target Alignment" |
> | S. Dasgupta, M. L. Littman, and D. McAllester |
63KB 42KB |
"PAC Generalization Bounds for Co-training" |
> | A. C. Faul and M. E. Tipping |
52KB 66KB |
"Analysis of Sparse Bayesian Learning" |
> | R. Herbrich and R. C. Williamson |
62KB 72KB |
"Algorithmic Luckiness" |
> | M. Hutter |
63KB 67KB |
"Distribution of Mutual Information" |
> | S. Ikeda, T. Tanaka, and S.I. Amari |
62KB 114KB |
"Information Geometrical Framework for Analyzing Belief Propagation Decoder" |
> | H. J. Kappen and W. Wiegerinck |
58KB 63KB |
"Novel iteration schemes for the Cluster Variation Method" |
> | R. Khardon, D. Roth, and R. A. Servedio |
83KB 87KB |
"Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms" |
> | J. Kleinberg |
65KB 120KB |
"Small-World Phenomena and the Dynamics of Information" |
> | A. Kowalczyk, A. J. Smola, and R. C. Williamson |
68KB 45KB |
"Kernel Machines and Boolean Functions" |
> | G. Lebanon and J. Lafferty |
71KB 78KB |
"Boosting and Maximum Likelihood for Exponential Models" |
> | M. Leisink and B. Kappen |
89KB 46KB |
"Means, Correlations and Bounds" |
> | D. Malzahn and M. Opper |
61KB 54KB |
"A Variational Approach to Learning Curves" |
> | I. Nemenman, F. Shafee, and W. Bialek |
84KB 99KB |
"Entropy and Inference, Revisited" |
> | M. Opper and R. Urbanczik |
62KB 80KB |
"Asymptotic Universality for Learning Curves of Support Vector Machines" |
> | G. Ratsch, S. Mika, and M. K. Warmuth |
83KB 55KB |
"On the Convergence of Leveraging" |
> | M. Rattray and G. Basalyga |
59KB 53KB |
"Scaling Laws and Local Minima in Hebbian ICA" |
> | M. Schmitt |
57KB 67KB |
"Computing Time Lower Bounds for Recurrent Sigmoidal Neural Networks" |
> | J. Shawe-Taylor, N. Cristianini, and J. Kandola |
45KB 53KB |
"On the Concentration of Spectral Properties" |
> | P. Sollich |
75KB 116KB |
"Gaussian Process Regression with Mismatched Models" |
> | T. Tanaka, S. Ikeda, and S.-I. Amari |
56KB 53KB |
"Information-Geometrical Significance of Sparsity in Gallager Codes" |
> | K. Y. M. Wong and F. Li |
65KB 71KB |
"Fast Parameter Estimation Using Green's Functions" |
> | T. Zhang |
54KB 38KB |
"Generalization Performance of Some Learning Problems in Hilbert Functional Spaces" |
> | F. d'Alché-Buc, Y. Grandvalet, and C. Ambroise |
62KB 77KB |
"Semi-supervised MarginBoost" |
> | C. Andrieu, N. d. Freitas, and A. Doucet |
63KB 97KB |
"Rao-Blackwellised Particle Filtering via Data Augmentation" |
> | F. R. Bach and M. I. Jordan |
66KB 44KB |
"Thin Junction Trees" |
> | M. J. Beal, Z. Ghahramani, and C. E. Rasmussen |
85KB 410KB |
"The Infinite Hidden Markov Model" |
> | M. Belkin and P. Niyogi |
53KB 74KB |
"Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering" |
> | J. Bi and K. P. Bennett |
64KB 885KB |
"Duality, Geometry, and Support Vector Regression" |
> | D. M. Blei, A. Y. Ng, and M. I. Jordan |
73KB 150KB |
"Latent Dirichlet Allocation" |
> | O. Chapelle and B. Schölkopf |
59KB 63KB |
"Incorporating Invariances in Non-Linear Support Vector Machines" |
> | M. Collins, S. Dasgupta, and R. E. Schapire |
76KB 65KB |
"A Generalization of Principal Components Analysis to the Exponential Family" |
> | M. Collins and N. Duffy |
71KB 42KB |
"Convolution Kernels for Natural Language" |
> | R. Collobert, S. Bengio, and Y. Bengio |
94KB 200KB |
"A Parallel Mixture of SVMs for Very Large Scale Problems" |
> | K. Crammer and Y. Singer |
69KB 87KB |
"Pranking with Ranking" |
> | N. Cristianini, J. Shawe-Taylor, and J. Kandola |
84KB 638KB |
"Spectral Kernel Methods for Clustering" |
> | L. Csató, M. Opper, and O. Winther |
65KB 56KB |
"TAP Gibbs Free Energy, Belief Propagation and Sparsity" |
> | C. Domeniconi and D. Gunopulos |
66KB 70KB |
"Adaptive Nearest Neighbor Classification Using Support Vector Machines" |
> | P. Domingos and G. Hulten |
63KB 58KB |
"Learning from Infinite Data in Finite Time" |
> | A. Elisseeff and J. Weston |
62KB 46KB |
"A kernel method for multi-labelled classification" |
> | D. P. d. Farias and B. V. Roy |
51KB 101KB |
"Approximate Dynamic Programming via Linear Programming" |
> | M. Figueiredo |
69KB 182KB |
"Adaptive Sparseness Using Jeffreys Prior" |
> | S. Fine and K. Scheinberg |
66KB 77KB |
"Incremental Learning and Selective Sampling via Parametric Optimization Framework for SVM" |
> | D. Fox |
121KB 678KB |
"KLD-Sampling: Adaptive Particle Filters" |
> | B. J. Frey and N. Jojic |
76KB 266KB |
"Fast, Large-Scale Transformation-Invariant Clustering" |
> | B. J. Frey, A. Kannan, and N. Jojic |
101KB 126KB |
"Product Analysis: Learning to Model Observations as Products of Hidden Variables" |
> | B. J. Frey, R. Koetter, and N. Petrovic |
107KB 765KB |
"Very loopy belief propagation for unwrapping phase images" |
> | P. Golland |
84KB 370KB |
"Discriminative Direction for Kernel Classifiers" |
> | P. Haffner |
62KB 70KB |
"Escaping the Convex Hull with Extrapolated Vector Machines" |
> | S. Harmeling, A. Ziehe, M. Kawanabe, and K.-R. Müller |
83KB 393KB |
"Kernel Feature Spaces and Nonlinear Blind Souce Separation" |
> | D. Horn and A. Gottlieb |
99KB 728KB |
"The Method of Quantum Clustering" |
> | T. Jaakkola and H. Siegelmann |
61KB 64KB |
"Active Information Retrieval" |
> | J. Kivinen, A. J. Smola, and R. C. Williamson |
84KB 242KB |
"Online Learning with Kernels" |
> | J. Kohlmorgen and S. Lemm |
63KB 73KB |
"A Dynamic HMM for On-line Segmentation of Sequential Data" |
> | G. R. G. Lanckriet, L. E. Ghaoui, C. Bhattacharyya, and M. I. Jordan |
55KB 67KB |
"Minimax Probability Machine" |
> | J. Langford and R. Caruana |
71KB 46KB |
"(Not) Bounding the True Error" |
> | M. L. Littman, M. Kearns, and S. Singh |
58KB 59KB |
"An Efficient, Exact Algorithm for Solving Tree-Structured Graphical Games" |
> | P. Meinicke and H. Ritter |
66KB 47KB |
"Quantizing Density Estimators" |
> | K. Murphy and M. Paskin |
76KB 47KB |
"Linear-time inference in Hierarchical HMMs" |
> | A. Y. Ng and M. I. Jordan |
72KB 73KB |
"On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes" |
> | A. Y. Ng, M. I. Jordan and Y. Weiss |
83KB 146KB |
"On Spectral Clustering: Analysis and an algorithm" |
> | A. Paccanaro and G. E. Hinton |
84KB 155KB |
"Learning Hierarchical Structures with Linear Relational Embedding" |
> | M. Pelillo |
67KB 43KB |
"Matching Free Trees with Replicator Equations" |
> | A. Rangarajan and A. L. Yuille |
57KB 190KB |
"MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation" |
> | C. E. Rasmussen and Z. Ghahramani |
81KB 86KB |
"Infinite Mixtures of Gaussian Process Experts" |
> | S. T. Roweis, L. K. Saul, and G. E. Hinton |
142KB 193KB |
"Global Coordination of Local Linear Models" |
> | L. K. Saul and D. D. Lee |
75KB 53KB |
"Multiplicative Updates for Classification by Mixture Models" |
> | M. Seeger |
79KB 150KB |
"Covariance Kernels from Bayesian Generative Models" |
> | E. Segal, D. Koller, and D. Ormoneit |
83KB 73KB |
"Probabilistic Abstraction Hierarchies" |
> | H. Shimodaira, K.-I. Noma, M. Nakai, and S. Sagayama |
53KB 109KB |
"Dynamic Time-Alignment Kernel in Support Vector Machine" |
> | N. Slonim, N. Friedman, and N. Tishby |
85KB 119KB |
"Agglomerative Multivariate Information Bottleneck" |
> | P. Sykacek and S. Roberts |
71KB 56KB |
"Bayesian time series classification" |
> | M. Szummer and T. Jaakkola |
69KB 55KB |
"Partially labeled classification with Markov random walks" |
> | Y. W. Teh and M. Welling |
93KB 90KB |
"The Unified Propagation and Scaling Algorithm" |
> | S. Thrun, J. Langford, and V. Verma |
115KB 762KB |
"Risk Sensitive Particle Filters" |
> | K. Torkkola |
67KB 46KB |
"Learning Discriminative Feature Transforms to Low Dimensions in Low Dimentions" |
> | K. Tsuda, M. Kawanabe, G. Rätsch, S. Sonnenburg, and K.-R. Müller |
66KB 51KB |
"A New Discriminative Kernel From Probabilistic Models" |
> | P. Vincent and Y. Bengio |
68KB 48KB |
"K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms" |
> | R. Vollgraf and K. Obermayer |
96KB 517KB |
"Multi Dimensional ICA to Separate Correlated Sources" |
> | M. Wainwright, T. Jaakkola, and A. Willsky |
74KB 75KB |
"Tree-based reparameterization for approximate inference on loopy graphs" |
> | H. Wersing |
93KB 86KB |
"Learning Lateral Interactions for Feature Binding and Sensory Segmentation" |
> | C. K. I. Williams, F. V. Agakov, and S. N. Felderhof |
65KB 81KB |
"Products of Gaussians" |
> | R. El-Yaniv and O. Souroujon |
70KB 153KB |
"Iterative Double Clustering for Unsupervised and Semi-Supervised Learning" |
> | A. L. Yuille and A. Rangarajan |
65KB 208KB |
"The Concave-Convex Procedure (CCCP)" |
> | B. Zadrozny |
62KB 32KB |
"Reducing multiclass to binary by coupling probability estimates" |
> | M. Zibulevsky, P. Kisilev, Y. Y. Zeevi, and B. Pearlmutter |
90KB 483KB |
"Blind Source Separation via Multinode Sparse Representation" |
> | H. Zha, X. He, C. Ding, M. Gu, and H. Simon |
58KB 80KB |
"Spectral Relaxation for K-means Clustering" |
> | T. Zhang |
53KB 33KB |
"A General Greedy Approximation Algorithm with Applications" |
> | Q. Zhang and S. A. Goldman |
64KB 45KB |
"EM-DD: An Improved Multiple-Instance Learning Technique" |
> | J. Zhu and T. Hastie |
91KB 76KB |
"Kernel Logistic Regression and the Import Vector Machine" |
> | A. Bofill, A. F. Murray and D. P. Thompson |
63KB 84KB |
"Citcuits for VLSI Implementation of Temporally Asymmetric Hebbian Learning" |
> | R. Genov and G. Cauwenberghs |
86KB 965KB |
"Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines" |
> | S.-C. Liu, J. Kramer, G. Indiveri, T. Delbrück, and R. Douglas |
71KB 47KB |
"Orientation-Selective aVLSI Spiking Neurons" |
> | T. Morie, T. Matsuura, M. Nagata, and A. Iwata |
96KB 242KB |
"An Efficient Clustering Algorithm Using Stochastic Association Model and Its Implementation Using Nanostructures" |
> | A. P. Shon, D. Hsu, and C. Diorio |
68KB 67KB |
"Learning Spike-Based Correlations and Conditional Probabilities in Silicon" |
> | T. Yamasaki and T. Shibata |
175KB 1869KB |
"Analog Soft-Pattern-Matching Classifier using Floating-Gate MOS Technology" |
> | J. Bilmes, G. Ji, and M. Meila |
69KB 42KB |
"Intransitive Likelihood-Ratio Classifiers" |
> | A. D. Brown and G. E. Hinton |
70KB 104KB |
"Relative Density Nets: A New Way to Combine Backpropagation with HMM's" |
> | W. M. Campbell |
59KB 49KB |
"A Sequence Kernel and its Application to Speaker Recognition" |
> | B. J. Frey, T. T. Kristjansson, L. Deng, and A. Acero |
56KB 59KB |
"ALGONQUIN - Learning Dynamic Noise Models From Noisy Speech for Robust Speech Recognition" |
> | J. Hershey and M. Casey |
104KB 396KB |
"Audio-Visual Sound Separation Via Hidden Markov Models" |
> | F. Meinecke, A. Ziehe, M. Kawanabe and K.-R. Müller |
73KB 361KB |
"Estimating the Reliability of ICA Projections" |
> | S. Parveen and P. Green |
59KB 162KB |
"Speech Recognition with Missing Data using Recurrent Neural Nets" |
> | N. Smith and M. Gales |
68KB 62KB |
"Speech Recognition using SVMs" |
> | S. N. Wrigley and G. J. Brown |
76KB 166KB |
"A Neural Oscillator Model of Auditory Selective Attention" |
> | K. Yao and S. Nakamura |
69KB 499KB |
"Sequential Noise Compensation by Sequential Monte Carlo Method" |
> | B. T. Backus |
69KB 52KB |
"Perceptual Metamers in Stereoscopic Vision" |
> | J. Coughlan and A. L. Yuille |
70KB 210KB |
"The g Factor: Relating Distributions on Features to Distributions on Images" |
> | B. Heisele, T. Serre, M. Pontil, T. Vetter, and T. Poggio |
100KB 1922KB |
"Categorization by Learning and Combining Object Parts" |
> | L. Itti, J. Braun, and C. Koch |
144KB 1424KB |
"Modeling the Modulatory Effect of Attention on Human Spatial Vision" |
> | P. Perona and M. Polito |
65KB 908KB |
"Grouping and dimensionality reduction by locally linear embedding" |
> | R. Rosales and S. Sclaroff |
107KB 1543KB |
"Learning Body Pose via Specialized Maps" |
> | S. P. Sabatini, F. Solari, G. Andreani, C. Bartolozzi, and G. M. Bisio |
72KB 345KB |
"A Hierarchical Model of Complex Cells in Visual Cortex for the Binocular Perception of Motion-in-Depth" |
> | J. Sadr, S. Mukherjee, K. Thoresz, and P. Sinha |
161KB 1237KB |
"The Fidelity of Local Ordinal Encoding" |
> | Y. Song, L. Goncalves, and P. Perona |
96KB 1124KB |
"Unsupervised Learning of Human Motion Models" |
> | C. Stauffer, E. Miller, and K. Tieu |
178KB 1570KB |
"Transform-invariant Image Decomposition with Similarity Templates" |
> | A. Torralba |
156KB 4710KB |
"Contextual Modulation of Target Saliency" |
> | P. Viola and M. Jones |
127KB 110KB |
"Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade" |
> | L. R. Williams and J. W. Zweck |
85KB 66KB |
"A Rotation and Translation Invariant Discrete Saliency Network" |
> | S. X. Yu and J. Shi |
153KB 632KB |
"Grouping with Bias" |
> | T. X. Brown |
59KB 36KB |
"Switch Packet Arbitration via Queue-Learning" |
> | I. V. Cadez and P. S. Bradley |
71KB 132KB |
"Model Based Population Tracking and Automatic Detection of Distribution Changes" |
> | I. V. Cadez and P. Smyth |
61KB 211KB |
"Bayesian Predictive Profiles With Applications to Retail Transaction Data" |
> | A. T. Cemgil and B. Kappen |
77KB 105KB |
"Tempo tracking and rhythm quantization by sequential Monte Carlo" |
> | N. Chapados, Y. Bengio, P. Vincent, J. Ghosn, C. Dugas, I. Takeuchi, and L. Meng |
71KB 91KB |
"Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference" |
> | J. A. Franklin |
104KB 342KB |
"Improvisation and Learning" |
> | T. L. Griffiths and J. B. Tenenbaum |
66KB 74KB |
"Using Vocabulary Knowledge in Bayesian Multinomial Estimation" |
> | C. L. Isbell, C. R. Shelton, M. Kearns, S. Singh and P. Stone, |
83KB 105KB |
"Cobot: A Social Reinforcement Learning Agent" |
> | N. D. Lawrence, A. I. T. Rowstron, C. M. Bishop, and M. J. Taylor |
69KB 100KB |
"Optimising Synchronisation Times for Mobile Devices" |
> | M. C. Mozer, R. Dodier, M. D. Colagrosso, C. Guerra-Salcedo, and R. Wolniewicz |
72KB 76KB |
"Prodding the ROC Curve: Constrained Optimization of Classifier Performance" |
> | J. Ontrup and H. Ritter |
126KB 934KB |
"Hyperbolic Self-Organizing Maps for Semantic Navigation" |
> | J. C. Platt, C. J. C. Burges, S. Swenson, C. Weare, and A. Zheng |
67KB 37KB |
"Learning a Gaussian Process Prior for Automatically Generating Music Playlists" |
> | C. Raphael |
61KB 128KB |
"A Bayesian Network for Real-Time Musical Accompaniment" |
> | M. Richardson and P. Domingos |
59KB 109KB |
"The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank" |
> | M. K. Warmuth, G. Rätsch, M. Mathieson, J. Liao, and C. Lemmen |
91KB 97KB |
"Active Learning in the Drug Discovery Process" |
> | M.-H. Yang |
73KB 316KB |
"Face Recognition Using Kernel Methods" |
> | H.-G. Zimmermann, R. Neuneier, and R. Grothmann |
74KB 53KB |
"Active Portfolio-Management based on Error Correction Neural Networks" |
> | B. Bakker |
73KB 136KB |
"Reinforcement Learning with Long Short-Term Memory" |
> | Y.-H. Chang and L. P. Kaelbling |
67KB 74KB |
"Playing is believing: The role of beliefs in multi-agent learning" |
> | T. G. Dietterich and X. Wang |
70KB 68KB |
"Batch Value Function Approximation via Support Vectors" |
> | E. Even-dar and Y. Mansour |
61KB 64KB |
"Convergence of Optimistic and Incremental Q-Learning" |
> | E. Greensmith, P. L. Bartlett, and J. Baxter |
70KB 106KB |
"Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning" |
> | G. Z. Grudic and L. H. Ungar |
63KB 50KB |
"Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning" |
> | C. Guestrin, D. Koller, and R. Parr |
102KB 224KB |
"Multiagent Planning with Factored MDPs" |
> | S. Kakade |
66KB 90KB |
"A Natural Policy Gradient" |
> | S. Koenig and M. Likhachev |
73KB 110KB |
"Incremental A*" |
> | M. G. Lagoudakis and R. Parr |
74KB 61KB |
"Model-Free Least-Squares Policy Iteration" |
> | M. L. Littman, R. S. Sutton, and S. Singh |
60KB 154KB |
"Predictive Representations of State" |
> | S. Mannor and N. Shimkin |
67KB 153KB |
"The Steering Approach for Multi-Criteria Reinforcement Learning" |
> | R. Munos |
58KB 65KB |
"Efficient Resources Allocation for Markov Decision Processes" |
> | D. Schuurmans and R. Patrascu |
62KB 38KB |
"Direct value-approximation for factored MDPs" |
> | X. Wang and T. G. Dietterich |
65KB 70KB |
"Stabilizing Value Function Approximation with the BFBP Algorithm" |