Conferences in DBLP
Ron Papka , James P. Callan , Andrew G. Barto Text-Based Information Retrieval Using Exponentiated Gradient Descent. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:3-9 [Conf ] Jordan B. Pollack , Alan D. Blair Why did TD-Gammon Work? [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:10-16 [Conf ] Maximilian Riesenhuber , Peter Dayan Neural Models for Part-Whole Hierarchies. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:17-26 [Conf ] Hagai Attias , Christoph E. Schreiner Temporal Low-Order Statistics of Natural Sounds. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:27-33 [Conf ] Wyeth Bair , James R. Cavanaugh , J. Anthony Movshon Reconstructing Stimulus Velocity from Neuronal Responses in Area MT. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:34-40 [Conf ] Emanuela Bricolo , Tomaso Poggio , Nikos Logothetis 3D Object Recognition: A Model of View-Tuned Neurons. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:41-47 [Conf ] Peter Dayan A Hierarchical Model of Visual Rivalry. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:48-54 [Conf ] Thomas C. Ferrée , Ben A. Marcotte , Shawn R. Lockery Neural Network Models of Chemotaxis in the Nematode Caenorhabditis Elegans. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:55-61 [Conf ] Fabrizio Gabbiani , Walter Metzner , Ralf Wessel , Christof Koch Extraction of Temporal Features in the Electrosensory System of Weakly Electric Fish. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:62-68 [Conf ] Zhaoping Li A Neural Model of Visual Contour Integration. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:69-75 [Conf ] Laura Martignon , Kathryn B. Laskey , Gustavo Deco , Eilon Vaadia Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-unit Recordings. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:76-82 [Conf ] Bartlett W. Mel , Daniel L. Ruderman , Kevin A. Archie Complex-Cell Responses Derived from Center-Surround Inputs: The Surprising Power of Intradendritic Computation. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:83-89 [Conf ] Klaus Pawelzik , Udo Ernst , Fred Wolf , Theo Geisel Orientation Contrast Sensitivity from Long-range Interactions in Visual Cortex. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:90-96 [Conf ] Alexandre Pouget , Kechen Zhang Statistically Efficient Estimations Using Cortical Lateral Connections. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:97-103 [Conf ] Silvio P. Sabatini , Fabio Solari , Giacomo M. Bisio An Architectural Mechanism for Direction-tuned Cortical Simple Cells: The Role of Mutual Inhibition. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:104-110 [Conf ] Akaysha C. Tang , Andreas M. Bartels , Terrence J. Sejnowski Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:111-117 [Conf ] Emanuel Todorov , Athanassios Siapas , David Somers A Model of Recurrent Interactions in Primary Visual Cortex. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:118-126 [Conf ] Shun-ichi Amari Neural Learning in Structured Parameter Spaces - Natural Riemannian Gradient. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:127-133 [Conf ] Peter L. Bartlett For Valid Generalization the Size of the Weights is More Important than the Size of the Network. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:134-140 [Conf ] Siegfried Bös , Manfred Opper Dynamics of Training. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:141-147 [Conf ] G. Brightwell , Claire Kenyon , Hélène Paugam-Moisy Multilayer Neural Networks: One or Two Hidden Layers? [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:148-154 [Conf ] Harris Drucker , Christopher J. C. Burges , Linda Kaufman , Alex J. Smola , Vladimir Vapnik Support Vector Regression Machines. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:155-161 [Conf ] André Elisseeff , Hélène Paugam-Moisy Size of Multilayer Networks for Exact Learning: Analytic Approach. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:162-168 [Conf ] Søren Halkjær , Ole Winther The Effect of Correlated Input Data on the Dynamics of Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:169-175 [Conf ] Tom Heskes Practical Confidence and Prediction Intervals. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:176-182 [Conf ] Kukjin Kang , Jong-Hoon Oh Statistical Mechanics of the Mixture of Experts. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:183-189 [Conf ] Adam Kowalczyk , Herman L. Ferrá MLP Can Provably Generalize Much Better than VC-bounds Indicate. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:190-196 [Conf ] Adam Krzyzak , Tamás Linder Radial Basis Function Networks and Complexity Regularization in Function Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:197-203 [Conf ] Nick Littlestone , Chris Mesterharm An Apobayesian Relative of Winnow. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:204-210 [Conf ] Wolfgang Maass Noisy Spiking Neurons with Temporal Coding have more Computational Power than Sigmoidal Neurons. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:211-217 [Conf ] Wolfgang Maass , Pekka Orponen On the Effect of Analog Noise in Discrete-Time Analog Computations. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:218-224 [Conf ] Manfred Opper , Ole Winther A Mean Field Algorithm for Bayes Learning in Large Feed-forward Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:225-231 [Conf ] Genevieve B. Orr Removing Noise in On-Line Search using Adaptive Batch Sizes. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:232-238 [Conf ] Ian Parberry , Hung-Li Tseng Are Hopfield Networks Faster than Conventional Computers? [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:239-245 [Conf ] Ferdinand Peper , Hideki Noda Hebb Learning of Features based on their Information Content. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:246-252 [Conf ] Richard Rohwer , Michal Morciniec The Generalisation Cost of RAMnets. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:253-259 [Conf ] David Saad , Sara A. Solla Learning with Noise and Regularizers in Multilayer Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:260-266 [Conf ] Lawrence K. Saul , Michael I. Jordan A Variational Principle for Model-based Morphing. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:267-273 [Conf ] Peter Sollich , David Barber Online Learning from Finite Training Sets: An Analytical Case Study. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:274-280 [Conf ] Vladimir Vapnik , Steven E. Golowich , Alex J. Smola Support Vector Method for Function Approximation, Regression Estimation and Signal Processing. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:281-287 [Conf ] Ansgar H. L. West , David Saad , Ian T. Nabney The Learning Dynamcis of a Universal Approximator. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:288-294 [Conf ] Christopher K. I. Williams Computing with Infinite Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:295-301 [Conf ] K. Y. Michael Wong Microscopic Equations in Rough Energy Landscape for Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:302-308 [Conf ] Assaf J. Zeevi , Ron Meir , Robert J. Adler Time Series Prediction using Mixtures of Experts. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:309-318 [Conf ] Shumeet Baluja Genetic Algorithms and Explicit Search Statistics. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:319-325 [Conf ] Yoram Baram Consistent Classification, Firm and Soft. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:326-332 [Conf ] David Barber , Christopher M. Bishop Bayesian Model Comparison by Monte Carlo Chaining. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:333-339 [Conf ] David Barber , Christopher K. I. Williams Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:340-346 [Conf ] Christopher M. Bishop , Cazhaow S. Quazaz Regression with Input-Dependent Noise: A Bayesian Treatment. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:347-353 [Conf ] Christopher M. Bishop , Markus Svensén , Christopher K. I. Williams GTM: A Principled Alternative to the Self-Organizing Map. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:354-360 [Conf ] Andrew Blake , Michael Isard The CONDENSATION Algorithm - Conditional Density Propagation and Applications to Visual Tracking. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:361-367 [Conf ] Paul S. Bradley , Olvi L. Mangasarian , W. Nick Street Clustering via Concave Minimization. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:368-374 [Conf ] Christopher J. C. Burges , Bernhard Schölkopf Improving the Accuracy and Speed of Support Vector Machines. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:375-381 [Conf ] A. Neil Burgess Estimating Equivalent Kernels for Neural Networks: A Data Perturbation Approach. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:382-388 [Conf ] Rich Caruana , Virginia R. de Sa Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:389-395 [Conf ] Chanchal Chatterjee , Vwani P. Roychowdhury Self-Organizing and Adaptive Algorithms for Generalized Eigen-Decomposition. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:396-402 [Conf ] Daniel S. Clouse , C. Lee Giles , Bill G. Horne , Garrison W. Cottrell Representation and Induction of Finite State Machines using Time-Delay Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:403-409 [Conf ] Frans Coetzee , Virginia L. Stonick 488 Solutions to the XOR Problem. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:410-416 [Conf ] David A. Cohn Minimizing Statistical Bias with Queries. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:417-423 [Conf ] Jeremy S. De Bonet , Charles Lee Isbell Jr. , Paul A. Viola MIMIC: Finding Optima by Estimating Probability Densities. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:424-430 [Conf ] A. P. Dunmur , D. M. Titterington On a Modification to the Mean Field EM Algorithm in Factorial Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:431-437 [Conf ] Andrew M. Finch , Richard C. Wilson , Edwin R. Hancock Softening Discrete Relaxation. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:438-444 [Conf ] Arthur Flexer Limitations of Self-organizing Maps for Vector Quantization and Multidimensional Scaling. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:445-451 [Conf ] Brendan J. Frey Continuous Sigmoidal Belief Networks Trained using Slice Sampling. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:452-458 [Conf ] Jürgen Fritsch , Michael Finke , Alex Waibel Adaptively Growing Hierarchical Mixtures of Experts. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:459-465 [Conf ] Tom Heskes Balancing Between Bagging and Bumping. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:466-472 [Conf ] Sepp Hochreiter , Jürgen Schmidhuber LSTM can Solve Hard Long Time Lag Problems. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:473-479 [Conf ] Aapo Hyvärinen , Erkki Oja One-unit Learning Rules for Independent Component Analysis. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:480-486 [Conf ] Tommi Jaakkola , Michael I. Jordan Recursive Algorithms for Approximating Probabilities in Graphical Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:487-493 [Conf ] Chuanyi Ji , Sheng Ma Combinations of Weak Classifiers. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:494-500 [Conf ] Michael I. Jordan , Zoubin Ghahramani , Lawrence K. Saul Hidden Markov Decision Trees. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:501-507 [Conf ] Ryotaro Kamimura Unification of Information Maximization and Minimization. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:508-514 [Conf ] Daniel D. Lee , H. Sebastian Seung Unsupervised Learning by Convex and Conic Coding. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:515-521 [Conf ] Friedrich Leisch , Kurt Hornik ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:522-528 [Conf ] Michael S. Lewicki , Terrence J. Sejnowski Bayesian Unsupervised Learning of Higher Order Structure. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:529-535 [Conf ] Juan K. Lin , Jack D. Cowan , David G. Grier Source Separation and Density Estimation by Faithful Equivariant SOM. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:536-542 [Conf ] David Lowe , Michael E. Tipping NeuroScale: Novel Topographic Feature Extraction using RBF Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:543-549 [Conf ] Mark Mathieson Ordered Classes and Incomplete Examples in Classification. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:550-556 [Conf ] Marina Meila , Michael I. Jordan Triangulation by Continuous Embedding. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:557-563 [Conf ] Christopher J. Merz , Michael J. Pazzani Combining Neural Network Regression Estimates with Regularized Linear Weights. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:564-570 [Conf ] David J. Miller , Hasan S. Uyar A Mixture of Experts Classifier with Learning Based on Both Labelled and Unlabelled Data. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:571-577 [Conf ] Stefano Monti , Gregory F. Cooper Learning Bayesian Belief Networks with Neural Network Estimators. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:578-584 [Conf ] John E. Moody , Thorsteinn S. Rögnvaldsson Smoothing Regularizers for Projective Basis Function Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:585-591 [Conf ] Paul W. Munro , Bambang Parmanto Competition Among Networks Improves Committee Performance. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:592-598 [Conf ] Noboru Murata , Klaus-Robert Müller , Andreas Ziehe , Shun-ichi Amari Adaptive On-line Learning in Changing Environments. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:599-605 [Conf ] Genevieve B. Orr , Todd K. Leen Using Curvature Information for Fast Stochastic Search. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:606-612 [Conf ] Barak A. Pearlmutter , Lucas C. Parra Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:613-619 [Conf ] Anand Rangarajan , Alan L. Yuille , Steven Gold , Eric Mjolsness A Convergence Proof for the Softassign Quadratic Assignment Algorithm. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:620-626 [Conf ] Kazumi Saito , Ryohei Nakano Second-order Learning Algorithm with Squared Penalty Term. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:627-633 [Conf ] Joseph Sill , Yaser S. Abu-Mostafa Monotonicity Hints. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:634-640 [Conf ] Yoram Singer , Manfred K. Warmuth Training Algorithms for Hidden Markov Models using Entropy Based Distance Functions. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:641-647 [Conf ] Padhraic Smyth Clustering Sequences with Hidden Markov Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:648-654 [Conf ] Achim Stahlberger , Martin Riedmiller Fast Network Pruning and Feature Extraction by using the Unit-OBS Algorithm. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:655-661 [Conf ] Joshua B. Tenenbaum , William T. Freeman Separating Style and Content. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:662-668 [Conf ] Volker Tresp , Ralph Neuneier , Hans-Georg Zimmermann Early Brain Damage. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:669-675 [Conf ] Richard S. Zemel , Peter Dayan , Alexandre Pouget Probabilistic Interpretation of Population Codes. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:676-684 [Conf ] Ralph Etienne-Cummings , Jan Van der Spiegel , Naomi Takahashi , Alyssa B. Apsel , Paul Mueller VLSI Implementation of Cortical Visual Motion Detection Using an Analog Neural Computer. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:685-691 [Conf ] Philipp Häfliger , Misha Mahowald , Lloyd Watts A Spike Based Learning Neuron in Analog VLSI. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:692-698 [Conf ] John G. Harris , Yu-Ming Chiang An Analog Implementation of the Constant Average Statistics Constraint For Sensor Calibration. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:699-705 [Conf ] Timothy K. Horiuchi , Tonia G. Morris , Christof Koch , Stephen P. DeWeerth Analog VLSI Circuits for Attention-Based, Visual Tracking. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:706-712 [Conf ] Kunihiko Iizuka , Masayuki Miyamoto , Hirofumi Matsui Dynamically Adaptable CMOS Winner-Take-All Neural Network. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:713-719 [Conf ] W. Fritz Kruger , Paul E. Hasler , Bradley A. Minch , Christof Koch An Adaptive WTA using Floating Gate Technology. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:720-726 [Conf ] John Lazzaro , John Wawrzynek , Richard Lippmann A Micropower Analog VLSI HMM State Decoder for Wordspotting. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:727-733 [Conf ] Fernando J. Pineda , Gert Cauwenberghs , R. Timothy Edwards Bangs, Clicks, Snaps, Thuds and Whacks: An Architecture for Acoustic Transient Processing. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:734-740 [Conf ] André van Schaik , Eric Fragnière , Eric A. Vittoz A Silicon Model of Amplitude Modulation Detection in the Auditory Brainstem. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:741-750 [Conf ] Michael S. Gray , Javier R. Movellan , Terrence J. Sejnowski Dynamic Features for Visual Speechreading: A Systematic Comparison. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:751-757 [Conf ] Te-Won Lee , Anthony J. Bell , Russell H. Lambert Blind Separation of Delayed and Convolved Sources. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:758-764 [Conf ] John C. Platt , Nada Matic A Constructive RBF Network for Writer Adaptation. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:765-771 [Conf ] Gerhard Rigoll , Christoph Neukirchen A New Approach to Hybrid HMM/ANN Speech Recognition using Mutual Information Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:772-778 [Conf ] Alex Röbel Neural Network Modeling of Speech and Music Signals. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:779-785 [Conf ] Diego Sona , Alessandro Sperduti , Antonina Starita A Constructive Learning Algorithm for Discriminant Tangent Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:786-792 [Conf ] Eric A. Wan , Alex T. Nelson Dual Kalman Filtering Methods for Nonlinear Prediction, Smoothing and Estimation. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:793-799 [Conf ] Steve R. Waterhouse , Gary Cook Ensemble Methods for Phoneme Classification. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:800-806 [Conf ] Larry S. Yaeger , Richard F. Lyon , Brandyn J. Webb Effective Training of a Neural Network Character Classifier for Word Recognition. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:807-816 [Conf ] Marian Stewart Bartlett , Terrence J. Sejnowski Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:817-823 [Conf ] Suzanna Becker Learning Temporally Persistent Hierarchical Representations. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:824-830 [Conf ] Anthony J. Bell , Terrence J. Sejnowski Edges are the Independent Components of Natural Scenes. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:831-837 [Conf ] Elie Bienenstock , Stuart Geman , Daniel Potter Compositionality, MDL Priors, and Object Recognition. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:838-844 [Conf ] Christoph Bregler , Jitendra Malik Learning Appearance Based Models: Mixtures of Second Moment Experts. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:845-0 [Conf ] Dawei W. Dong Spatiotemporal Coupling and Scaling of Natural Images and Human Visual Sensitivities. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:859-865 [Conf ] Michael S. Gray , Alexandre Pouget , Richard S. Zemel , Steven J. Nowlan , Terrence J. Sejnowski Selective Integration: A Model for Disparity Estimation. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:866-872 [Conf ] Stephen Grossberg , James R. Williamson ARTEX: A Self-organizing Architecture for Classifying Image Regions. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:873-879 [Conf ] José A. F. Leite , Edwin R. Hancock Contour Organisation with the EM Algorithm. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:880-886 [Conf ] Trevor Mundel , Alexander Dimitrov , Jack D. Cowan Visual Cortex Circuitry and Orientation Tuning. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:887-893 [Conf ] Curtis Padgett , Garrison W. Cottrell Representing Face Images for Emotion Classification. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:894-900 [Conf ] Simon J. Thorpe , Jacques Gautrais Rapid Visual Processing using Spike Asynchrony. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:901-907 [Conf ] Yair Weiss Interpreting Images by Propagating Bayesian Beliefs. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:908-914 [Conf ] Shih-Cheng Yen , Leif H. Finkel Salient Contour Extraction by Temporal Binding in a Cortically-based Network. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:915-924 [Conf ] Halina Abramowicz , David Horn , Ury Naftaly , Carmit Sahar-Pikielny An Orientation Selective Neural Network for Pattern Identification in Particle Detectors. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:925-931 [Conf ] Timothy X. Brown Adaptive Access Control Applied to Ethernet Data. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:932-938 [Conf ] David A. Cohn , Satinder P. Singh Predicting Lifetimes in Dynamically Allocated Memory. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:939-945 [Conf ] Joumana Ghosn , Yoshua Bengio Multi-Task Learning for Stock Selection. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:946-952 [Conf ] Michael Mozer , Lucky Vidmar , Robert H. Dodier The Neurothermostat: Predictive Optimal Control of Residential Heating Systems. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:953-959 [Conf ] Mahesan Niranjan Sequential Tracking in Pricing Financial Options using Model Based and Neural Network Approaches. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:960-966 [Conf ] Tony Plate , Pierre Band , Joel Bert , John Grace A Comparison between Neural Networks and other Statistical Techniques for Modeling the Relationship between Tobacco and Alcohol and Cancer. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:967-973 [Conf ] Satinder P. Singh , Dimitri P. Bertsekas Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:974-980 [Conf ] Kagan Tumer , Nirmala Ramanujam , Rebecca R. Richards-Kortum , Joydeep Ghosh Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:981-987 [Conf ] Ernest Wan , Don Bone Interpolating Earth-science Data using RBF Networks and Mixtures of Experts. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:988-994 [Conf ] Lizhong Wu , John E. Moody Multi-effect Decompositions for Financial Data Modeling. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:995-1004 [Conf ] Scott Davies Multidimensional Triangulation and Interpolation for Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:1005-1011 [Conf ] Kenji Doya Efficient Nonlinear Control with Actor-Tutor Architecture. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:1012-1018 [Conf ] Michael O. Duff , Andrew G. Barto Local Bandit Approximation for Optimal Learning Problems. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:1019-1025 [Conf ] Eric A. Hansen , Andrew G. Barto , Shlomo Zilberstein Reinforcement Learning for Mixed Open-loop and Closed-loop Control. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:1026-1032 [Conf ] Stephan Pareigis Multi-Grid Methods for Reinforcement Learning in Controlled Diffusion Processes. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:1033-1039 [Conf ] Stefan Schaal Learning from Demonstration. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:1040-1046 [Conf ] Jeff G. Schneider Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:1047-1053 [Conf ] Satinder P. Singh , Peter Dayan Analytical Mean Squared Error Curves in Temporal Difference Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:1054-1060 [Conf ] Magnus Stensmo , Terrence J. Sejnowski Learning Decision Theoretic Utilities through Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:1061-1067 [Conf ] Gerald Tesauro , Gregory R. Galperin On-line Policy Improvement using Monte-Carlo Search. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:1068-1074 [Conf ] John N. Tsitsiklis , Benjamin Van Roy Analysis of Temporal-Diffference Learning with Function Approximation. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:1075-1081 [Conf ] John N. Tsitsiklis , Benjamin Van Roy Approximate Solutions to Optimal Stopping Problems. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:1082-1088 [Conf ]