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NIPS*2001
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| The Infinite Hidden Markov Model M. J. Beal and Z. Ghahramani and C. E. Rasmussen [ps][pdf][djvu] The Unified Propagation and Scaling Algorithm Y. W. Teh and M. Welling [ps][pdf][djvu] Minimax Probability Machine G. R. G. Lanckriet and L. E. Ghaoui and C. Bhattacharyya and M. I. Jordan [ps][pdf][djvu] Approximate Dynamic Programming via Linear Programming D. P. d. Farias and B. V. Roy [ps][pdf][djvu] Global Coordination of Local Linear Models S. T. Roweis and L. K. Saul and G. E. Hinton [ps][pdf][djvu] Infinite Mixtures of Gaussian Process Experts C. E. Rasmussen and Z. Ghahramani [ps][pdf][djvu] Adaptive Sparseness Using Jeffreys Prior M. A. T. Figueiredo [ps][pdf][djvu] The Method of Quantum Clustering D. Horn and A. Gottlieb [ps][pdf][djvu] Blind Source Separation via Multinode Sparse Representation M. Zibulevsky and P. Kisilev and Y. Y. Zeevi and B. Pearlmutter [ps][pdf][djvu] A Dynamic HMM for On-line Segmentation of Sequential Data J. Kohlmorgen and S. Lemm [ps][pdf][djvu] EM-DD: An Improved Multiple-Instance Learning Technique Q. Zhang and S. A. Goldman [ps][pdf][djvu] Discriminative Direction for Kernel Classifiers P. Golland [ps][pdf][djvu] Kernel Logistic Regression and the Import Vector Machine J. Zhu and T. Hastie [ps][pdf][djvu] Learning Lateral Interactions for Feature Binding and Sensory Segmentation H. Wersing [ps][pdf][djvu] Products of Gaussians C. K. I. Williams and F. V. Agakov and S. N. Felderhof [ps][pdf][djvu] Spectral Kernel Methods for Clustering N. Cristianini and J. Shawe-Taylor and J. Kandola [ps][pdf][djvu] Matching Free Trees with Replicator Equations M. Pelillo [ps][pdf][djvu] Bayesian time series classification P. Sykacek and S. Roberts [ps][pdf][djvu] Multi Dimensional ICA to Separate Correlated Sources R. Vollgraf and K. Obermayer [ps][pdf][djvu] Dynamic Time-Alignment Kernel in Support Vector Machine H. Shimodaira and K.-I. Noma and M. Nakai and S. Sagayama [ps][pdf][djvu] Covariance Kernels from Bayesian Generative Models M. Seeger [ps][pdf][djvu] Probabilistic Abstraction Hierarchies E. Segal and D. Koller and D. Ormoneit [ps][pdf][djvu] Agglomerative Multivariate Information Bottleneck N. Slonim and N. Friedman and N. Tishby [ps][pdf][djvu] Iterative Double Clustering for Unsupervised and Semi-Supervised Learning R. El-Yaniv and O. Souroujon [ps][pdf][djvu] Adaptive Nearest Neighbor Classification Using Support Vector Machines C. Domeniconi and D. Gunopulos [ps][pdf][djvu] MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation A. Rangarajan and A. L. Yuille [ps][pdf][djvu] A Generalization of Principal Components Analysis to the Exponential Family M. Collins and S. Dasgupta and R. E. Schapire [ps][pdf][djvu] On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes A. Y. Ng and M. I. Jordan [ps][pdf][djvu] An Efficient, Exact Algorithm for Solving Tree-Structured Graphical Games M. L. Littman and M. Kearns and S. Singh [ps][pdf][djvu] A Parallel Mixture of SVMs for Very Large Scale Problems R. Collobert and S. Bengio and Y. Bengio [ps][pdf][djvu] Escaping the Convex Hull with Extrapolated Vector Machines P. Haffner [ps][pdf][djvu] Incorporating Invariances in Non-Linear Support Vector Machines O. Chapelle and B. Sch\ [ps][pdf][djvu] Online Learning with Kernels J. Kivinen and A. J. Smola and R. C. Williamson [ps][pdf][djvu] Kernel Feature Spaces and Nonlinear Blind Souce Separation S. Harmeling and A. Ziehe and M. Kawanabe and K.-R. M\ [ps][pdf][djvu] On Spectral Clustering: Analysis and an algorithm A. Y. Ng and M. I. Jordan and Y. Weiss [ps][pdf][djvu] Partially labeled classification with Markov random walks M. Szummer and T. Jaakkola [ps][pdf][djvu] Fast, Large-Scale Transformation-Invariant Clustering B. J. Frey and N. Jojic [ps][pdf][djvu] Risk Sensitive Particle Filters S. Thrun and J. Langford and V. Verma [ps][pdf][djvu] Very loopy belief propagation for unwrapping phase images B. J. Frey and R. Koetter and N. Petrovic [ps][pdf][djvu] Product Analysis: Learning to Model Observations as Products of Hidden Variables B. J. Frey and A. Kannan and N. Jojic [ps][pdf][djvu] Spectral Relaxation for K-means Clustering H. Zha and X. He and C. Ding and M. Gu and H. Simon [ps][pdf][djvu] Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering M. Belkin and P. Niyogi [ps][pdf][djvu] A General Greedy Approximation Algorithm with Applications T. Zhang [ps][pdf][djvu] Semi-supervised MarginBoost F. d'Alch\'{e}-Buc and Y. Grandvalet and C. Ambroise [ps][pdf][djvu] A kernel method for multi-labelled classification A. Elisseeff and J. Weston [ps][pdf][djvu] Duality, Geometry, and Support Vector Regression J. Bi and K. P. Bennett [ps][pdf][djvu] Learning Hierarchical Structures with Linear Relational Embedding A. Paccanaro and G. E. Hinton [ps][pdf][djvu] Incremental Learning and Selective Sampling via Parametric Optimization Framework for SVM S. Fine and K. Scheinberg [ps][pdf][djvu] Quantizing Density Estimators P. Meinicke and H. Ritter [ps][pdf][djvu] Thin Junction Trees F. R. Bach and M. I. Jordan [ps][pdf][djvu] Active Information Retrieval T. Jaakkola and H. Siegelmann [ps][pdf][djvu] Multiplicative Updates for Classification by Mixture Models L. K. Saul and D. D. Lee [ps][pdf][djvu] Latent Dirichlet Allocation D. M. Blei and A. Y. Ng and M. I. Jordan [ps][pdf][djvu] (Not) Bounding the True Error J. Langford and R. Caruana [ps][pdf][djvu] Learning Discriminative Feature Transforms to Low Dimensions in Low Dimentions K. Torkkola [ps][pdf][djvu] A New Discriminative Kernel From Probabilistic Models K. Tsuda and M. Kawanabe and G. R\ [ps][pdf][djvu] Learning from Infinite Data in Finite Time P. Domingos and G. Hulten [ps][pdf][djvu] Convolution Kernels for Natural Language M. Collins and N. Duffy [ps][pdf][djvu] TAP Gibbs Free Energy, Belief Propagation and Sparsity L. Csat\'{o} and M. Opper and O. Winther [ps][pdf][djvu] Rao-Blackwellised Particle Filtering via Data Augmentation C. Andrieu and N. d. Freitas and A. Doucet [ps][pdf][djvu] K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms P. Vincent and Y. Bengio [ps][pdf][djvu] KLD-Sampling: Adaptive Particle Filters D. Fox [ps][pdf][djvu] Reducing multiclass to binary by coupling probability estimates B. Zadrozny [ps][pdf][djvu] Linear-time inference in Hierarchical HMMs K. P. Murphy and M. A. Paskin [ps][pdf][djvu] Pranking with Ranking K. Crammer and Y. Singer [ps][pdf][djvu] The Concave-Convex Procedure (CCCP) A. L. Yuille and A. Rangarajan [ps][pdf][djvu] Tree-based reparameterization for approximate inference on loopy graphs M. Wainwright and T. Jaakkola and A. Willsky [ps][pdf][djvu] A Bayesian Network for Real-Time Musical Accompaniment C. Raphael [ps][pdf][djvu] Improvisation and Learning J. A. Franklin [ps][pdf][djvu] Learning a Gaussian Process Prior for Automatically Generating Music Playlists J. C. Platt and C. J. C. Burges and S. Swenson and C. Weare and A. Zheng [ps][pdf][djvu] Active Portfolio-Management based on Error Correction Neural Networks H.-G. Zimmermann and R. Neuneier and R. Grothmann [ps][pdf][djvu] Optimising Synchronisation Times for Mobile Devices N. D. Lawrence and A. I. T. Rowstron and C. M. Bishop and M. J. Taylor [ps][pdf][djvu] Bayesian Predictive Profiles With Applications to Retail Transaction Data I. V. Cadez and P. Smyth [ps][pdf][djvu] Hyperbolic Self-Organizing Maps for Semantic Navigation J. Ontrup and H. Ritter [ps][pdf][djvu] Model Based Population Tracking and Automatic Detection of Distribution Changes I. V. Cadez and P. S. Bradley [ps][pdf][djvu] Tempo tracking and rhythm quantization by sequential Monte Carlo A. T. Cemgil and B. Kappen [ps][pdf][djvu] Active Learning in the Drug Discovery Process M. K. Warmuth and G. R\ [ps][pdf][djvu] Switch Packet Arbitration via Queue-Learning T. X. Brown [ps][pdf][djvu] Face Recognition Using Kernel Methods M.-H. Yang [ps][pdf][djvu] Using Vocabulary Knowledge in Bayesian Multinomial Estimation T. L. Griffiths and J. B. Tenenbaum [ps][pdf][djvu] Prodding the ROC Curve: Constrained Optimization of Classifier Performance M. C. Mozer and R. Dodier and M. D. Colagrosso and C. Guerra-Salcedo and R. Wolniewicz [ps][pdf][djvu] Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference N. Chapados and Y. Bengio and P. Vincent and J. Ghosn and C. Dugas and I. Takeuchi and L. Meng [ps][pdf][djvu] Cobot: A Social Reinforcement Learning Agent C. L. Isbell and C. R. Shelton and M. Kearns and S. Singh and P. Stone [ps][pdf][djvu] The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank M. Richardson and P. Domingos [ps][pdf][djvu] Multiagent Planning with Factored MDPs C. Guestrin and D. Koller and R. Parr [ps][pdf][djvu] Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning E. Greensmith and P. L. Bartlett and J. Baxter [ps][pdf][djvu] Efficient Resources Allocation for Markov Decision Processes R. Munos [ps][pdf][djvu] Convergence of Optimistic and Incremental Q-Learning E. Even-Dar and Y. Mansour [ps][pdf][djvu] Reinforcement Learning with Long Short-Term Memory B. Bakker [ps][pdf][djvu] The Steering Approach for Multi-Criteria Reinforcement Learning S. Mannor and N. Shimkin [ps][pdf][djvu] Stabilizing Value Function Approximation with the BFBP Algorithm X. Wang and T. G. Dietterich [ps][pdf][djvu] Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning G. Z. Grudic and L. H. Ungar [ps][pdf][djvu] Incremental A* S. Koenig and M. Likhachev [ps][pdf][djvu] Batch Value Function Approximation via Support Vectors T. G. Dietterich and X. Wang [ps][pdf][djvu] A Natural Policy Gradient S. Kakade [ps][pdf][djvu] Predictive Representations of State M. L. Littman and R. S. Sutton and S. Singh [ps][pdf][djvu] Model-Free Least-Squares Policy Iteration M. G. Lagoudakis and R. Parr [ps][pdf][djvu] Direct value-approximation for factored MDPs D. Schuurmans and R. Patrascu [ps][pdf][djvu] Playing is believing: The role of beliefs in multi-agent learning Y.-H. Chang and L. P. Kaelbling [ps][pdf][djvu] Motivated Reinforcement Learning P. Dayan [ps][pdf][djvu] A Quantitative Model of Counterfactual Reasoning D. Yarlett and M. Ramscar [ps][pdf][djvu] Probabilistic principles in unsupervised learning of visual structure: human data and a model S. Edelman and B. P. Hiles and H. Yang and N. Intrator [ps][pdf][djvu] A Model of the Phonological Loop: Generalization and Binding R. C. O'Reilly and R. Soto [ps][pdf][djvu] Constructing Distributed Representations Using Additive Clustering W. Ruml [ps][pdf][djvu] Grammatical Bigrams M. A. Paskin [ps][pdf][djvu] A Rational Analysis of Cognitive Control in a Speeded Discrimination Task M. C. Mozer and M. D. Colagrosso and D. E. Huber [ps][pdf][djvu] Modeling Temporal Structure in Classical Conditioning A. C. Courville and D. S. Touretzky [ps][pdf][djvu] Causal Categorization with Bayes Nets B. Rehder [ps][pdf][djvu] Generalizable Relational Binding from Coarse-coded Distributed Representations R. C. O'Reilly and R. S. Busby [ps][pdf][djvu] The Emergence of Multiple Movement Units in the Presence of Noise and Feedback Delay M. Kositsky and A. G. Barto [ps][pdf][djvu] Grammar Transfer in a Second Order Recurrent Neural Network M. Negishi and S. J. Hanson [ps][pdf][djvu] Reinforcement Learning and Time Perception -- a Model of Animal Experiments J. L. Shapiro and J. Wearden [ps][pdf][djvu] A Bayesian Model Predicts Human Parse Preference and Reading Times in Sentence Processing S. Narayanan and D. Jurafsky [ps][pdf][djvu] Fragment Completion in Humans and Machines D. Jacobs and B. Rokers and A. Rudra and Z. Liu [ps][pdf][djvu] Natural Language Grammar Induction Using a Constituent-Context Model D. Klein and C. D. Manning [ps][pdf][djvu] Learning Spike-Based Correlations and Conditional Probabilities in Silicon A. P. Shon and D. Hsu and C. Diorio [ps][pdf][djvu] Orientation-Selective aVLSI Spiking Neurons S.-C. Liu and J. Kramer and G. Indiveri and T. Delbr\ [ps][pdf][djvu] Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines R. Genov and G. Cauwenberghs [ps][pdf][djvu] An Efficient Clustering Algorithm Using Stochastic Association Model and Its Implementation Using Nanostructures T. Morie and T. Matsuura and M. Nagata and A. Iwata [ps][pdf][djvu] Citcuits for VLSI Implementation of Temporally Asymmetric Hebbian Learning A. Bofill and A. F. Murray and D. P. Thompson [ps][pdf][djvu] Analog Soft-Pattern-Matching Classifier using Floating-Gate MOS Technology T. Yamasaki and T. Shibata [ps][pdf][djvu] Small-World Phenomena and the Dynamics of Information J. Kleinberg [ps][pdf][djvu] Gaussian Process Regression with Mismatched Models P. Sollich [ps][pdf][djvu] Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms R. Khardon and D. Roth and R. A. Servedio [ps][pdf][djvu] Geometrical Singularities in the Neuromanifold of Multilayer Perceptrons S.-I. Amari and H. Park and T. Ozeki [ps][pdf][djvu] Generalization Performance of Some Learning Problems in Hilbert Functional Spaces T. Zhang [ps][pdf][djvu] Means, Correlations and Bounds M. Leisink and B. Kappen [ps][pdf][djvu] Information-Geometrical Significance of Sparsity in Gallager Codes T. Tanaka and S. Ikeda and S.-I. Amari [ps][pdf][djvu] On the Generalization Ability of On-Line Learning Algorithms N. Cesa-Bianchi and A. Conconi and C. Gentile [ps][pdf][djvu] Fast Parameter Estimation Using Green's Functions K. Y. M. Wong and F. Li [ps][pdf][djvu] Boosting and Maximum Likelihood for Exponential Models G. Lebanon and J. Lafferty [ps][pdf][djvu] Computing Time Lower Bounds for Recurrent Sigmoidal Neural Networks M. Schmitt [ps][pdf][djvu] The Noisy Euclidean Traveling Salesman Problem and Learning M. L. Braun and J. M. Buhmann [ps][pdf][djvu] On the Concentration of Spectral Properties J. Shawe-Taylor and N. Cristianini and J. Kandola [ps][pdf][djvu] Kernel Machines and Boolean Functions A. Kowalczyk and A. J. Smola and R. C. Williamson [ps][pdf][djvu] PAC Generalization Bounds for Co-training S. Dasgupta and M. L. Littman and D. McAllester [ps][pdf][djvu] On the Convergence of Leveraging G. R\ [ps][pdf][djvu] Sampling Techniques for Kernel Methods D. Achlioptas and F. McSherry and B. Sch\ [ps][pdf][djvu] On Kernel-Target Alignment N. Cristianini and J. Shawe-Taylor and A. Elisseeff and J. Kandola [ps][pdf][djvu] Algorithmic Luckiness R. Herbrich and R. C. Williamson [ps][pdf][djvu] Scaling Laws and Local Minima in Hebbian ICA M. Rattray and G. Basalyga [ps][pdf][djvu] Distribution of Mutual Information M. Hutter [ps][pdf][djvu] Analysis of Sparse Bayesian Learning A. C. Faul and M. E. Tipping [ps][pdf][djvu] Entropy and Inference, Revisited I. Nemenman and F. Shafee and W. Bialek [ps][pdf][djvu] Novel iteration schemes for the Cluster Variation Method H. J. Kappen and W. Wiegerinck [ps][pdf][djvu] Asymptotic Universality for Learning Curves of Support Vector Machines M. Opper and R. Urbanczik [ps][pdf][djvu] A Variational Approach to Learning Curves D. Malzahn and M. Opper [ps][pdf][djvu] Information Geometrical Framework for Analyzing Belief Propagation Decoder S. Ikeda and T. Tanaka and S.-I. Amari [ps][pdf][djvu] Correlation Codes in Neuronal Populations M. Shamir and H. Sompolinsky [ps][pdf][djvu] Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway G. Chechik and A. Globerson and M.J. Anderson and E.D. Young and I. Nelken and N. Tishby [ps][pdf][djvu] Neural Implementation of Bayesian Inference in Population Codes S. Wu and S.-I. Amari [ps][pdf][djvu] A theory of neural integration in the head-direction system R. Hahnloser and X. Xie and H. S. Seung [ps][pdf][djvu] Receptive field structure of flow detectors for heading perception J. A. Beintema and A. V. v. d. Berg and M. Lappe [ps][pdf][djvu] Bayesian morphometry of hippocampal cells suggests same-cell somatodendritic repulsion G. A. Ascoli and A. V. Samsonovich [ps][pdf][djvu] 3 state neurons for contextual processing A. Kepecs and S. Raghavachari [ps][pdf][djvu] Activity Driven Adaptive Stochastic Resonance G. Wenning and K. Obermayer [ps][pdf][djvu] Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex Y. Gao and M. J. Black and E. Bienenstock and S. Shoham and J. P. Donoghue [ps][pdf][djvu] Information-Geometric Decomposition in Spike Analysis H. Nakahara and S.-I. Amari [ps][pdf][djvu] Generating velocity tuning by asymmetric recurrent connections X. Xie and M. Giese [ps][pdf][djvu] A Maximum-Likelihood Approach to Modeling Multisensory Enhancement H. Colonius and A. Diederich [ps][pdf][djvu] Orientational and Geometric Determinants of Place and Head-direction N. Burgess and T. Hartley [ps][pdf][djvu] Characterizing Neural Gain Control using Spike-triggered Covariance O. Schwartz and E. J. Chichilnisky and E. P. Simoncelli [ps][pdf][djvu] ACh, Uncertainty, and Cortical Inference P. Dayan and A. J. Yu [ps][pdf][djvu] Effective Size of Receptive Fields of Inferior Temporal Visual Cortex Neurons in Natural Scenes T. P. Trappenberg and E. T. Rolls and S. M. Stringer [ps][pdf][djvu] Classifying Single Trial EEG: Towards Brain Computer Interfacing B. Blankertz and G. Curio and K.-R. M\ [ps][pdf][djvu] Exact differential equation population dynamics for integrate-and-fire neurons J. Eggert and B. Bauml [ps][pdf][djvu] Eye movements and the maturation of cortical orientation selectivity M. Rucci and A. Casile [ps][pdf][djvu] Associative memory in realistic neuronal networks P.E. Latham [ps][pdf][djvu] Modularity in the motor system: decomposition of muscle patterns as combinations of time-varying synergies A. d'Avella and M. C. Tresch [ps][pdf][djvu] Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field O. Donchin and R. Shadmehr [ps][pdf][djvu] Why Neuronal Dynamics Should Control Synaptic Learning Rules J. Tegn\'{e}r and A. Kepecs [ps][pdf][djvu] Self-regulation Mechanism of Temporally Asymmetric Hebbian Plasticity N. Matsumoto and M. Okada [ps][pdf][djvu] Spike timing and the coding of naturalistic sounds in a central auditory area of songbirds B. D. Wright and K. Sen and W. Bialek and A. J. Doupe [ps][pdf][djvu] Intransitive Likelihood-Ratio Classifiers J. Bilmes and G. Ji and M. Meila [ps][pdf][djvu] Speech Recognition using SVMs N. Smith and M. Gales [ps][pdf][djvu] Relative Density Nets: A New Way to Combine Backpropagation with HMM's A. D. Brown and G. E. Hinton [ps][pdf][djvu] A Sequence Kernel and its Application to Speaker Recognition W. M. Campbell [ps][pdf][djvu] ALGONQUIN - Learning Dynamic Noise Models From Noisy Speech for Robust Speech Recognition B. J. Frey and T. T. Kristjansson and L. Deng and A. Acero [ps][pdf][djvu] A Neural Oscillator Model of Auditory Selective Attention S. N. Wrigley and G. J. Brown [ps][pdf][djvu] Speech Recognition with Missing Data using Recurrent Neural Nets S. Parveen and P. Green [ps][pdf][djvu] Estimating the Reliability of ICA Projections F. Meinecke and A. Ziehe and M. Kawanabe and K.-R. M\ [ps][pdf][djvu] Audio-Visual Sound Separation Via Hidden Markov Models J. Hershey and M. Casey [ps][pdf][djvu] Sequential Noise Compensation by Sequential Monte Carlo Method K. Yao and S. Nakamura [ps][pdf][djvu] A Hierarchical Model of Complex Cells in Visual Cortex for the Binocular Perception of Motion-in-Depth S. P. Sabatini and F. Solari and G. Andreani and C. Bartolozzi and G. M. Bisio [ps][pdf][djvu] Perceptual Metamers in Stereoscopic Vision B. T. Backus [ps][pdf][djvu] Transform-invariant Image Decomposition with Similarity Templates C. Stauffer and E. Miller and K. Tieu [ps][pdf][djvu] Modeling the Modulatory Effect of Attention on Human Spatial Vision L. Itti and J. Braun and C. Koch [ps][pdf][djvu] Grouping with Bias S. X. Yu and J. Shi [ps][pdf][djvu] Learning Body Pose via Specialized Maps R. Rosales and S. Sclaroff [ps][pdf][djvu] Grouping and dimensionality reduction by locally linear embedding M. Polito and P. Perona [ps][pdf][djvu] Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade P. Viola and M. Jones [ps][pdf][djvu] Contextual Modulation of Target Saliency A. Torralba [ps][pdf][djvu] A Rotation and Translation Invariant Discrete Saliency Network L. R. Williams and J. W. Zweck [ps][pdf][djvu] Categorization by Learning and Combining Object Parts B. Heisele and T. Serre and M. Pontil and T. Vetter and T. Poggio [ps][pdf][djvu] The g Factor: Relating Distributions on Features to Distributions on Images J. Coughlan and A. L. Yuille [ps][pdf][djvu] The Fidelity of Local Ordinal Encoding J. Sadr and S. Mukherjee and K. Thoresz and P. Sinha [ps][pdf][djvu] Unsupervised Learning of Human Motion Models Y. Song and L. Goncalves and P. Perona [ps][pdf][djvu] |