Conferences in DBLP
Jessica D. Bayliss , Dana H. Ballard Recognizing Evoked Potentials in a Virtual Environment. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:3-9 [Conf ] Gustavo Deco , Josef Zihl A Neurodynamical Approach to Visual Attention. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:10-16 [Conf ] Thea B. Ghiselli-Crippa , Paul W. Munro Effects of Spatial and Temporal Contiguity on the Acquisition of Spatial Information. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:17-23 [Conf ] Sham Kakade , Peter Dayan Acquisition in Autoshaping. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:24-30 [Conf ] Soo-Young Lee , Michael Mozer Robust Recognition of Noisy and Superimposed Patterns via Selective Attention. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:31-37 [Conf ] Xiuwen Liu , DeLiang L. Wang Perceptual Organization Based on Temporal Dynamics. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:38-44 [Conf ] Javier R. Movellan , James L. McClelland Information Factorization in Connectionist Models of Perception. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:45-51 [Conf ] Shan Parfitt , Peter Tiño , Georg Dorffner Graded Grammaticality in Prediction Fractal Machines. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:52-58 [Conf ] Joshua B. Tenenbaum Rules and Similarity in Concept Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:59-65 [Conf ] Bradley Tonkes , Alan D. Blair , Janet Wiles Evolving Learnable Languages. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:66-72 [Conf ] Ton Weijters , Antal van den Bosch , Eric O. Postma Learning Statistically Neutral Tasks without Expert Guidance. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:73-79 [Conf ] Richard S. Zemel , Michael Mozer A Generative Model for Attractor Dynamics. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:80-88 [Conf ] Péter Adorján , Lars Schwabe , Christian Piepenbrock , Klaus Obermayer Recurrent Cortical Competition: Strengthen or Weaken? [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:89-95 [Conf ] Gal Chechik , Isaac Meilijson , Eytan Ruppin Effective Learning Requires Neuronal Remodeling of Hebbian Synapses. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:96-102 [Conf ] Dmitri B. Chklovskii , Charles F. Stevens Wiring Optimization in the Brain [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:103-107 [Conf ] Dmitri B. Chklovskii Optimal Sizes of Dendritic and Axonal Arbors. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:108-114 [Conf ] Christian W. Eurich , Stefan D. Wilke , Helmut Schwegler Neural Representation of Multi-Dimensional Stimuli. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:115-121 [Conf ] Geoffrey E. Hinton , Andrew D. Brown Spiking Boltzmann Machines. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:122-128 [Conf ] David Horn , Nir Levy , Isaac Meilijson , Eytan Ruppin Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:129-135 [Conf ] Zhaoping Li Can VI Mechanisms Account for Figure-Ground and Medial Axis Effects? [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:136-142 [Conf ] Amit Manwani , Peter N. Steinmetz , Christof Koch Channel Noise in Excitable Neural Membranes. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:143-149 [Conf ] Paul W. Munro , Gerardina Hernandez LTD Facilitates Learning in a Noisy Environment. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:150-156 [Conf ] Panayiota Poirazi , Bartlett W. Mel Memory Capacity of Linear vs. Nonlinear Models of Dendritic Integration. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:157-163 [Conf ] Rajesh P. N. Rao , Terrence J. Sejnowski Predictive Sequence Learning in Recurrent Neocortical Circuits. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:164-170 [Conf ] Alfonso Renart , Néstor Parga , Edmund T. Rolls A Recurrent Model of the Interaction Between Prefrontal and Inferotemporal Cortex in Delay Tasks. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:171-177 [Conf ] Elad Schneidman , Idan Segev , Naftali Tishby Information Capacity and Robustness of Stochastic Neuron Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:178-184 [Conf ] Akaysha C. Tang , Barak A. Pearlmutter , Tim A. Hely , Michael Zibulevsky , Michael P. Weisend An MEG Study of Response Latency and Variability in the Human Visual System During a Visual-Motor Integration Task. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:185-191 [Conf ] Si Wu , Hiroyuki Nakahara , Noboru Murata , Shun-ichi Amari Population Decoding Based on an Unfaithful Model. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:192-198 [Conf ] Xiaohui Xie , H. Sebastian Seung Spike-based Learning Rules and Stabilization of Persistent Neural Activity. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:199-208 [Conf ] Hagai Attias A Variational Baysian Framework for Graphical Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:209-215 [Conf ] Joachim M. Buhmann , Marcus Held Model Selection in Clustering by Uniform Convergence Bounds. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:216-222 [Conf ] Christopher J. C. Burges , David J. Crisp Uniqueness of the SVM Solution. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:223-229 [Conf ] Olivier Chapelle , Vladimir Vapnik Model Selection for Support Vector Machines. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:230-236 [Conf ] Anthony C. C. Coolen , C. W. H. Mace Dynamics of Supervised Learning with Restricted Training Sets and Noisy Teachers. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:237-243 [Conf ] David J. Crisp , Christopher J. C. Burges A Geometric Interpretation of v-SVM Classifiers. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:244-250 [Conf ] Lehel Csató , Ernest Fokoué , Manfred Opper , Bernhard Schottky , Ole Winther Efficient Approaches to Gaussian Process Classification. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:251-257 [Conf ] Nigel Duffy , David P. Helmbold Potential Boosters? [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:258-264 [Conf ] Lars Kai Hansen Bayesian Averaging is Well-Temperated. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:265-271 [Conf ] Yoshiyuki Kabashima , Tatsuto Murayama , David Saad , Renato Vicente Regular and Irregular Gallager-zype Error-Correcting Codes. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:272-278 [Conf ] Jonathan Q. Li , Andrew R. Barron Mixture Density Estimation. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:279-285 [Conf ] Song Li , K. Y. Michael Wong Statistical Dynamics of Batch Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:286-292 [Conf ] Wolfgang Maass Neural Computation with Winner-Take-All as the Only Nonlinear Operation. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:293-299 [Conf ] Yishay Mansour , David A. McAllester Boosting with Multi-Way Branching in Decision Trees. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:300-306 [Conf ] Claude Nadeau , Yoshua Bengio Inference for the Generalization Error. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:307-313 [Conf ] Toru Ohira , Yuzuru Sato , Jack D. Cowan Resonance in a Stochastic Neuron Model with Delayed Interaction. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:314-320 [Conf ] Sebastian Risau-Gusman , Mirta B. Gordon Understanding Stepwise Generalization of Support Vector Machines: a Toy Model. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:321-327 [Conf ] Michael Schmitt Lower Bounds on the Complexity of Approximating Continuous Functions by Sigmoidal Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:328-334 [Conf ] Hava T. Siegelmann , Alexander Roitershtein , Asa Ben-Hur Noisy Neural Networks and Generalizations. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:335-341 [Conf ] Alex J. Smola , John Shawe-Taylor , Bernhard Schölkopf , Robert C. Williamson The Entropy Regularization Information Criterion. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:342-348 [Conf ] Peter Sollich Probabilistic Methods for Support Vector Machines. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:349-355 [Conf ] Sumio Watanabe Algebraic Analysis for Non-regular Learning Machines. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:356-362 [Conf ] Liqing Zhang , Shun-ichi Amari , Andrzej Cichocki Semiparametric Approach to Multichannel Blind Deconvolution of Nonminimum Phase Systems [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:363-369 [Conf ] Tong Zhang Some Theoretical Results Concerning the Convergence of Compositions of Regularized Linear Functions. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:370-378 [Conf ] Christophe Andrieu , João F. G. de Freitas , Arnaud Doucet Robust Full Bayesian Methods for Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:379-385 [Conf ] Hagai Attias Independent Factor Analysis with Temporally Structured Sources. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:386-392 [Conf ] David Barber , Peter Sollich Gaussian Fields for Approximate Inference in Layered Sigmoid Belief Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:393-399 [Conf ] Yoshua Bengio , Samy Bengio Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:400-406 [Conf ] Thomas Briegel , Volker Tresp Robust Neural Network Regression for Offline and Online Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:407-413 [Conf ] Miguel Á. Carreira-Perpiñán Reconstruction of Sequential Data with Probabilistic Models and Continuity Constraints. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:414-420 [Conf ] Olivier Chapelle , Vladimir Vapnik , Jason Weston Transductive Inference for Estimating Values of Functions. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:421-427 [Conf ] Oliver B. Downs , David J. C. MacKay , Daniel D. Lee The Nonnegative Boltzmann Machine. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:428-434 [Conf ] Gary William Flake , Barak A. Pearlmutter Differentiating Functions of the Jacobian with Respect to the Weights. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:435-441 [Conf ] Brendan J. Frey Local Probability Propagation for Factor Analysis. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:442-448 [Conf ] Zoubin Ghahramani , Matthew J. Beal Variational Inference for Bayesian Mixtures of Factor Analysers. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:449-455 [Conf ] Thore Graepel , Ralf Herbrich , Klaus Obermayer Bayesian Transduction. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:456-462 [Conf ] Geoffrey E. Hinton , Zoubin Ghahramani , Yee Whye Teh Learning to Parse Images. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:463-469 [Conf ] Tommi Jaakkola , Marina Meila , Tony Jebara Maximum Entropy Discrimination. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:470-476 [Conf ] Nebojsa Jojic , Brendan J. Frey Topographic Transformation as a Discrete Latent Variable. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:477-483 [Conf ] Pavel Laskov An Improved Decomposition Algorithm for Regression Support Vector Machines. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:484-490 [Conf ] Daniel D. Lee , Uri Rokni , Haim Sompolinsky Algorithms for Independent Components Analysis and Higher Order Statistics. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:491-497 [Conf ] Yi Li , Philip M. Long The Relaxed Online Maximum Margin Algorithm. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:498-504 [Conf ] Dimitris Margaritis , Sebastian Thrun Bayesian Network Induction via Local Neighborhoods. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:505-511 [Conf ] Llew Mason , Jonathan Baxter , Peter L. Bartlett , Marcus R. Frean Boosting Algorithms as Gradient Descent. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:512-518 [Conf ] Chris Mesterharm A Multi-class Linear Learning Algorithm Related to Winnow. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:519-525 [Conf ] Sebastian Mika , Gunnar Rätsch , Jason Weston , Bernhard Schölkopf , Alex J. Smola , Klaus-Robert Müller Invariant Feature Extraction and Classification in Kernel Spaces. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:526-532 [Conf ] Andrew Y. Ng , Michael I. Jordan Approximate Inference A lgorithms for Two-Layer Bayesian Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:533-539 [Conf ] Dirk Ormoneit , Trevor Hastie Optimal Kernel Shapes for Local Linear Regression. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:540-546 [Conf ] John C. Platt , Nello Cristianini , John Shawe-Taylor Large Margin DAGs for Multiclass Classification. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:547-553 [Conf ] Carl Edward Rasmussen The Infinite Gaussian Mixture Model. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:554-560 [Conf ] Gunnar Rätsch , Bernhard Schölkopf , Alex J. Smola , Klaus-Robert Müller , Takashi Onoda , Sebastian Mika v-Arc: Ensemble Learning in the Presence of Outliers. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:561-567 [Conf ] Volker Roth , Volker Steinhage Nonlinear Discriminant Analysis Using Kernel Functions. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:568-574 [Conf ] Paat Rusmevichientong , Benjamin Van Roy An Analysis of Turbo Decoding with Gaussian Densities. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:575-581 [Conf ] Bernhard Schölkopf , Robert C. Williamson , Alex J. Smola , John Shawe-Taylor , John C. Platt Support Vector Method for Novelty Detection. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:582-588 [Conf ] Mike Schuster Better Generative Models for Sequential Data Problems: Bidirectional Recurrent Mixture Density Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:589-595 [Conf ] Dale Schuurmans Greedy Importance Sampling. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:596-602 [Conf ] Matthias Seeger Bayesian Model Selection for Support Vector Machines, Gaussian Processes and Other Kernel Classifiers. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:603-609 [Conf ] Yoram Singer Leveraged Vector Machines. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:610-616 [Conf ] Noam Slonim , Naftali Tishby Agglomerative Information Bottleneck. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:617-623 [Conf ] Masashi Sugiyama , Hidemitsu Ogawa Training Data Selection for Optimal Generalization in Trigonometric Polynomial Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:624-630 [Conf ] S. Sundararajan , S. Sathiya Keerthi Predictive App roaches for Choosing Hyperparameters in Gaussian Processes. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:631-637 [Conf ] Peter Sykacek On Input Selection with Reversible Jump Markov Chain Monte Carlo Sampling. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:638-644 [Conf ] Peter Tiño , Georg Dorffner Building Predictive Models from Fractal Representations of Symbolic Sequences. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:645-651 [Conf ] Michael E. Tipping The Relevance Vector Machine. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:652-658 [Conf ] Vladimir Vapnik , Sayan Mukherjee Support Vector Method for Multivariate Density Estimation. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:659-665 [Conf ] Eric A. Wan , Rudolph van der Merwe , Alex T. Nelson Dual Estimation and the Unscented Transformation. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:666-672 [Conf ] Yair Weiss , William T. Freeman Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:673-679 [Conf ] Christopher K. I. Williams A MCMC Approach to Hierarchical Mixture Modelling. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:680-686 [Conf ] Howard Hua Yang , John E. Moody Data Visualization and Feature Selection: New Algorithms for Nongaussian Data. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:687-702 [Conf ] Mark Zlochin , Yoram Baram Manifold Stochastic Dynamics for Bayesian Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:694-702 [Conf ] Charles Lee Isbell Jr. , Parry Husbands The Parallel Problems Server: an Interactive Tool for Large Scale Machine Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:703-709 [Conf ] Oliver Landolt , Steve Gyger An Oculo-Motor System with Multi-Chip Neuromorphic Analog VLSI Control. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:710-716 [Conf ] Shih-Chii Liu A Winner-Take-All Circuit with Controllable Soft Max Property. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:717-723 [Conf ] Girish N. Patel , Edgar A. Brown , Stephen P. DeWeerth A Neuromorphic VLSI System for Modeling the Neural Control of Axial Locomotion. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:724-730 [Conf ] Girish N. Patel , Gennady S. Cymbalyuk , Ronald L. Calabrese , Stephen P. DeWeerth Bifurcation Analysis of a Silicon Neuron. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:731-737 [Conf ] André van Schaik An Analog VLSI Model of Periodicity Extraction. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:738-746 [Conf ] Guy J. Brown , DeLiang L. Wang An Oscillatory Correlation Frame work for Computational Auditory Scene Analysis. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:747-753 [Conf ] Pedro A. d. F. R. Højen-Sørensen , Lars Kai Hansen , Carl Edward Rasmussen Bayesian Modelling of fMRI lime Series. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:754-760 [Conf ] Craig T. Jin , Simon Carlile Neural System Model of Human Sound Localization. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:761-767 [Conf ] Craig T. Jin , Anna Corderoy , Simon Carlile , André van Schaik Spectral Cues in Human Sound Localization. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:768-774 [Conf ] Justinian P. Rosca , Joseph Ó Ruanaidh , Alexander Jourjine , Scott Rickard Broadband Direction-Of-Arrival Estimation Based on Second Order Statistics. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:775-781 [Conf ] Sam T. Roweis Constrained Hidden Markov Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:782-788 [Conf ] Nicol N. Schraudolph , Xavier Giannakopoulos Online Independent Component Analysis with Local Learning Rate Adaptation. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:789-795 [Conf ] Gavin Smith , João F. G. de Freitas , Tony Robinson , Mahesan Niranjan Speech Modelling Using Subspace and EM Techniques. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:796-802 [Conf ] Howard Hua Yang , Hynek Hermansky Search for Information Bearing Components in Speech. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:803-812 [Conf ] John Hershey , Javier R. Movellan Audio Vision: Using Audio-Visual Synchrony to Locate Sounds. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:813-819 [Conf ] Nicholas R. Howe , Michael E. Leventon , William T. Freeman Bayesian Reconstruction of 3D Human Motion from Single-Camera Video. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:820-826 [Conf ] Aapo Hyvärinen , Patrik O. Hoyer Emergence of Topography and Complex Cell Properties from Natural Images using Extensions of ICA. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:827-833 [Conf ] Tai Sing Lee , Stella X. Yu An Information-Theoretic Framework for Understanding Saccadic Eye Movements. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:834-840 [Conf ] Bruno A. Olshausen , K. Jarrod Millman Learning Sparse Codes with a Mixture-of-Gaussians Prior. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:841-847 [Conf ] Clay Spence , Lucas C. Parra Hierarchical Image Probability (H1P) Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:848-854 [Conf ] Martin J. Wainwright , Eero P. Simoncelli Scale Mixtures of Gaussians and the Statistics of Natural Images. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:855-861 [Conf ] Ming-Hsuan Yang , Dan Roth , Narendra Ahuja A SNoW-Based Face Detector. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:862-868 [Conf ] Zhiyong Yang , Richard S. Zemel Managing Uncertainty in Cue Combination. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:869-878 [Conf ] Rembrandt Bakker , Jaap C. Schouten , Marc-Olivier Coppens , Floris Takens , C. Lee Giles , Cor M. van den Bleek Robust Learning of Chaotic Attractors. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:879-885 [Conf ] Marian Stewart Bartlett , Gianluca Donato , Javier R. Movellan , Joseph C. Hager , Paul Ekman , Terrence J. Sejnowski Image Representations for Facial Expression Coding. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:886-892 [Conf ] Timothy X. Brown Low Power Wireless Communication via Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:893-899 [Conf ] John W. Fisher III , Alexander T. Ihler , Paul A. Viola Learning Informative Statistics: A Nonparametnic Approach. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:900-906 [Conf ] Richard M. Golden Kirchoff Law Markov Fields for Analog Circuit Design. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:907-913 [Conf ] Thomas Hofmann Learning the Similarity of Documents: An Information-Geometric Approach to Document Retrieval and Categorization. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:914-920 [Conf ] Yuansong Liao , John E. Moody Constructing Heterogeneous Committees Using Input Feature Grouping: Application to Economic Forecasting. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:921-927 [Conf ] Eric Mjolsness , Tobias Mann , Rebecca Castaño , Barbara J. Wold From Coexpression to Coregulation: An Approach to Inferring Transcriptional Regulation among Gene Classes from Large-Scale Expression Data. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:928-934 [Conf ] Michael Mozer , Richard H. Wolniewicz , David B. Grimes , Eric Johnson , Howard Kaushansky Churn Reduction in the Wireless Industry. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:935-941 [Conf ] Lucas C. Parra , Clay Spence , Paul Sajda , Andreas Ziehe , Klaus-Robert Müller Unmixing Hyperspectral Data. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:942-948 [Conf ] Holger Schoner , Martin Stetter , Ingo Schießl , John E. W. Mayhew , Jennifer S. Lund , Niall McLoughlin , Klaus Obermayer Application of Blind Separation of Sources to Optical Recording of Brain Activity. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:949-955 [Conf ] Satinder P. Singh , Michael J. Kearns , Diane J. Litman , Marilyn A. Walker Reinforcement Learning for Spoken Dialogue Systems. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:956-962 [Conf ] Xubo B. Song , Joseph Sill , Yaser S. Abu-Mostafa , Harvey Kasdan Image Recognition in Context: Application to Microscopic Urinalysis. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:963-969 [Conf ] Shivakumar Vaithyanathan , Byron Dom Generalized Model Selection for Unsupervised Learning in High Dimensions. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:970-976 [Conf ] Nuno Vasconcelos , Andrew Lippman Learning from User Feedback in Image Retrieval Systems. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:977-986 [Conf ] Samuel P. M. Choi , Dit-Yan Yeung , Nevin Lianwen Zhang An Environment Model for Nonstationary Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:987-993 [Conf ] Thomas G. Dietterich State Abstraction in MAXQ Hierarchical Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:994-1000 [Conf ] Michael J. Kearns , Yishay Mansour , Andrew Y. Ng Approximate Planning in Large POMDPs via Reusable Trajectories. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:1001-1007 [Conf ] Vijay R. Konda , John N. Tsitsiklis Actor-Critic Algorithms. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:1008-1014 [Conf ] Kevin P. Murphy Bayesian Map Learning in Dynamic Environments. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:1015-1021 [Conf ] Andrew Y. Ng , Ronald Parr , Daphne Koller Policy Search via Density Estimation. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:1022-1028 [Conf ] Stephen Piche , James D. Keeler , Greg Martin , Gene Boe , Doug Johnson , Mark Gerules Neural Network Based Model Predictive Control. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:1029-1035 [Conf ] Andrés Rodríguez , Ronald Parr , Daphne Koller Reinforcement Learning Using Approximate Belief States. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:1036-1042 [Conf ] Nicholas Roy , Sebastian Thrun Coastal Navigation with Mobile Robots. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:1043-1049 [Conf ] Brian Sallans Learning Factored Representations for Partially Observable Markov Decision Processes. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:1050-1056 [Conf ] Richard S. Sutton , David A. McAllester , Satinder P. Singh , Yishay Mansour Policy Gradient Methods for Reinforcement Learning with Function Approximation. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:1057-1063 [Conf ] Sebastian Thrun Monte Carlo POMDPs. [Citation Graph (0, 0)][DBLP ] NIPS, 1999, pp:1064-1070 [Conf ]