Neural Information Processing Systems 2001

Contents

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.

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Part I    Cognitive Science

>	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"

Part II    Neuroscience

>	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"

Part III    Theory

>	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"

Part IV    Algorithms and Architectures

>	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"

Part V    Implementation

>	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"

Part VI    Speech and Signal Processing

>	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"

Part VII    Visual Processing

>	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"

Part VIII    Applications

>	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"

Part IX    Control, Navigation and Planning

>	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"

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.

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