ML Anthology

NeurIPS 1995

152 papers

A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-Test Split Michael J. Kearns
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A Dynamical Model of Context Dependencies for the Vestibulo-Ocular Reflex Olivier J. M. D. Coenen, Terrence J. Sejnowski
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A Dynamical Systems Approach for a Learnable Autonomous Robot Jun Tani, Naohiro Fukumura
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A Framework for Non-Rigid Matching and Correspondence Suguna Pappu, Steven Gold, Anand Rangarajan
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A Model of Auditory Streaming Susan L. McCabe, Michael J. Denham
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A Model of Spatial Representations in Parietal Cortex Explains Hemineglect Alexandre Pouget, Terrence J. Sejnowski
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A Model of Transparent Motion and Non-Transparent Motion Aftereffects Alexander Grunewald
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A Multiscale Attentional Framework for Relaxation Neural Networks Dimitris I. Tsioutsias, Eric Mjolsness
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A Neural Network Autoassociator for Induction Motor Failure Prediction Thomas Petsche, Angelo Marcantonio, Christian Darken, Stephen Jose Hanson, Gary M. Kuhn, N. Iwan Santoso
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A Neural Network Classifier for the I100 OCR Chip John C. Platt, Timothy P. Allen
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A Neural Network Model of 3-D Lightness Perception Luiz Pessoa, William D. Ross
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A New Learning Algorithm for Blind Signal Separation Shun-ichi Amari, Andrzej Cichocki, Howard Hua Yang
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A Novel Channel Selection System in Cochlear Implants Using Artificial Neural Network Marwan A. Jabri, Raymond J. Wang
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A Practical Monte Carlo Implementation of Bayesian Learning Carl Edward Rasmussen
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A Predictive Switching Model of Cerebellar Movement Control Andrew G. Barto, James C. Houk
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A Realizable Learning Task Which Exhibits Overfitting Siegfried Bös
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A Smoothing Regularizer for Recurrent Neural Networks Lizhong Wu, John E. Moody
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A Unified Learning Scheme: Bayesian-Kullback Ying-Yang Machine Lei Xu
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Absence of Cycles in Symmetric Neural Networks Xin Wang, Arun K. Jagota, Fernanda Botelho, Max H. Garzon
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Active Gesture Recognition Using Learned Visual Attention Trevor Darrell, Alex Pentland
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Active Learning in Multilayer Perceptrons Kenji Fukumizu
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Adaptive Back-Propagation in On-Line Learning of Multilayer Networks Ansgar H. L. West, David Saad
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Adaptive Mixture of Probabilistic Transducers Yoram Singer
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Adaptive Retina with Center-Surround Receptive Field Shih-Chii Liu, Kwabena Boahen
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An Information-Theoretic Learning Algorithm for Neural Network Classification David J. Miller, Ajit V. Rao, Kenneth Rose, Allen Gersho
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Analog VLSI Processor Implementing the Continuous Wavelet Transform R. Timothy Edwards, Gert Cauwenberghs
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Bayesian Methods for Mixtures of Experts Steve R. Waterhouse, David MacKay, Anthony J. Robinson
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Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function Peter Stone, Manuela M. Veloso
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Boosting Decision Trees Harris Drucker, Corinna Cortes
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Cholinergic Suppression of Transmission May Allow Combined Associative Memory Function and Self-Organization in the Neocortex Michael E. Hasselmo, Milos Cekic
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Classifying Facial Action Marian Stewart Bartlett, Paul A. Viola, Terrence J. Sejnowski, Beatrice A. Golomb, Jan Larsen, Joseph C. Hager, Paul Ekman
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Clustering Data Through an Analogy to the Potts Model Marcelo Blatt, Shai Wiseman, Eytan Domany
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Competence Acquisition in an Autonomous Mobile Robot Using Hardware Neural Techniques Geoffrey B. Jackson, Alan F. Murray
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Constructive Algorithms for Hierarchical Mixtures of Experts Steve R. Waterhouse, Anthony J. Robinson
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Context-Dependent Classes in a Hybrid Recurrent Network-HMM Speech Recognition System Dan J. Kershaw, Anthony J. Robinson, Mike Hochberg
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Control of Selective Visual Attention: Modeling the "Where" Pathway Ernst Niebur, Christof Koch
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Correlated Neuronal Response: Time Scales and Mechanisms Wyeth Bair, Ehud Zohary, Christof Koch
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Discovering Structure in Continuous Variables Using Bayesian Networks Reimar Hofmann, Volker Tresp
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Discriminant Adaptive Nearest Neighbor Classification and Regression Trevor Hastie, Robert Tibshirani
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Does the Wake-Sleep Algorithm Produce Good Density Estimators? Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan
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Dynamics of Attention as near Saddle-Node Bifurcation Behavior Hiroyuki Nakahara, Kenji Doya
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Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks David Saad, Sara A. Solla
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EM Optimization of Latent-Variable Density Models Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams
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Empirical Entropy Manipulation for Real-World Problems Paul A. Viola, Nicol N. Schraudolph, Terrence J. Sejnowski
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Estimating the Bayes Risk from Sample Data Robert R. Snapp, Tong Xu
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Examples of Learning Curves from a Modified VC-Formalism Adam Kowalczyk, Jacek Szymanski, Peter L. Bartlett, Robert C. Williamson
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Experiments with Neural Networks for Real Time Implementation of Control Peter K. Campbell, Michael Dale, Herman L. Ferrá, Adam Kowalczyk
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Exploiting Tractable Substructures in Intractable Networks Lawrence K. Saul, Michael I. Jordan
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Explorations with the Dynamic Wave Model Thomas P. Rebotier, Jeffrey L. Elman
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Exponentially Many Local Minima for Single Neurons Peter Auer, Mark Herbster, Manfred K. Warmuth
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Extracting Tree-Structured Representations of Trained Networks Mark Craven, Jude W. Shavlik
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Factorial Hidden Markov Models Zoubin Ghahramani, Michael I. Jordan
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Family Discovery Stephen M. Omohundro
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Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks Tommi Jaakkola, Lawrence K. Saul, Michael I. Jordan
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Finite State Automata That Recurrent Cascade-Correlation Cannot Represent Stefan C. Kremer
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Forward-Backward Retraining of Recurrent Neural Networks Andrew W. Senior, Anthony J. Robinson
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From Isolation to Cooperation: An Alternative View of a System of Experts Stefan Schaal, Christopher G. Atkeson
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Gaussian Processes for Regression Christopher K. I. Williams, Carl Edward Rasmussen
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Generalisation of a Class of Continuous Neural Networks John Shawe-Taylor, Jieyu Zhao
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Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding Richard S. Sutton
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Generalized Learning Vector Quantization Atsushi Sato, Keiji Yamada
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Generating Accurate and Diverse Members of a Neural-Network Ensemble David W. Opitz, Jude W. Shavlik
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Geometry of Early Stopping in Linear Networks Robert H. Dodier
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Gradient and Hamiltonian Dynamics Applied to Learning in Neural Networks James W. Howse, Chaouki T. Abdallah, Gregory L. Heileman
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Handwritten Word Recognition Using Contextual Hybrid Radial Basis Function Network/Hidden Markov Models Bernard Lemarié, Michel Gilloux, Manuel Leroux
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Harmony Networks Do Not Work René Gourley
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Hierarchical Recurrent Neural Networks for Long-Term Dependencies Salah El Hihi, Yoshua Bengio
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High-Performance Job-Shop Scheduling with a Time-Delay TD(λ) Network Wei Zhang, Thomas G. Dietterich
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High-Speed Airborne Particle Monitoring Using Artificial Neural Networks Alistair Ferguson, Theo Sabisch, Paul Kaye, Laurence C. Dixon, Hamid Bolouri
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How Perception Guides Production in Birdsong Learning Christopher L. Fry
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Human Face Detection in Visual Scenes Henry A. Rowley, Shumeet Baluja, Takeo Kanade
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Human Reading and the Curse of Dimensionality Gale Martin
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Implementation Issues in the Fourier Transform Algorithm Yishay Mansour, Sigal Sahar
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Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging Dirk Ormoneit, Volker Tresp
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Improved Silicon Cochlea Using Compatible Lateral Bipolar Transistors André van Schaik, Eric Fragnière, Eric A. Vittoz
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Improving Committee Diagnosis with Resampling Techniques Bambang Parmanto, Paul W. Munro, Howard R. Doyle
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Improving Elevator Performance Using Reinforcement Learning Robert H. Crites, Andrew G. Barto
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Improving Policies Without Measuring Merits Peter Dayan, Satinder P. Singh
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Independent Component Analysis of Electroencephalographic Data Scott Makeig, Anthony J. Bell, Tzyy-Ping Jung, Terrence J. Sejnowski
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Information Through a Spiking Neuron Charles F. Stevens, Anthony M. Zador
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Investment Learning with Hierarchical PSOMs Jörg A. Walter, Helge Ritter
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Is Learning the N-Th Thing Any Easier than Learning the First? Sebastian Thrun
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KODAK lMAGELINK™ OCR Alphanumeric Handprint Module Alexander Shustorovich, Christopher W. Thrasher
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Laterally Interconnected Self-Organizing Maps in Hand-Written Digit Recognition Yoonsuck Choe, Joseph Sirosh, Risto Miikkulainen
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Learning Fine Motion by Markov Mixtures of Experts Marina Meila, Michael I. Jordan
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Learning Long-Term Dependencies Is Not as Difficult with NARX Networks Tsungnan Lin, Bill G. Horne, Peter Tiño, C. Lee Giles
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Learning Model Bias Jonathan Baxter
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Learning Sparse Perceptrons Jeffrey C. Jackson, Mark Craven
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Learning the Structure of Similarity Joshua B. Tenenbaum
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Learning to Predict Visibility and Invisibility from Occlusion Events Jonathan A. Marshall, Richard K. Alley, Robert S. Hubbard
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Learning with Ensembles: How Overfitting Can Be Useful Peter Sollich, Anders Krogh
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Memory-Based Stochastic Optimization Andrew W. Moore, Jeff G. Schneider
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Model Matching and SFMD Computation Steven Rehfuss, Dan W. Hammerstrom
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Modeling Interactions of the Rat's Place and Head Direction Systems A. David Redish, David S. Touretzky
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Modeling Saccadic Targeting in Visual Search Rajesh P. N. Rao, Gregory J. Zelinsky, Mary M. Hayhoe, Dana H. Ballard
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Modern Analytic Techniques to Solve the Dynamics of Recurrent Neural Networks A.C.C. Coolen, S. N. Laughton, D. Sherrington
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Neural Control for Nonlinear Dynamic Systems Ssu-Hsin Yu, Anuradha M. Annaswamy
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Neural Networks with Quadratic VC Dimension Pascal Koiran, Eduardo D. Sontag
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Neuron-MOS Temporal Winner Search Hardware for Fully-Parallel Data Processing Tadashi Shibata, Tsutomu Nakai, Tatsuo Morimoto, Ryu Kaihara, Takeo Yamashita, Tadahiro Ohmi
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On Neural Networks with Minimal Weights Vasken Bohossian, Jehoshua Bruck
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On the Computational Power of Noisy Spiking Neurons Wolfgang Maass
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Onset-Based Sound Segmentation Leslie S. Smith
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Optimal Asset Allocation Using Adaptive Dynamic Programming Ralph Neuneier
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Optimization Principles for the Neural Code Michael DeWeese
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Optimizing Cortical Mappings Geoffrey J. Goodhill, Steven Finch, Terrence J. Sejnowski
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Parallel Analog VLSI Architectures for Computation of Heading Direction and Time-to-Contact Giacomo Indiveri, Jörg Kramer, Christof Koch
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Parallel Optimization of Motion Controllers via Policy Iteration Jefferson A. Coelho Jr., R. Sitaraman, Roderic A. Grupen
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Plasticity of Center-Surround Opponent Receptive Fields in Real and Artificial Neural Systems of Vision S. Yasui, T. Furukawa, M. Yamada, T. Saito
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Prediction of Beta Sheets in Proteins Anders Krogh, Soren Kamaric Riis
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Predictive Q-Routing: A Memory-Based Reinforcement Learning Approach to Adaptive Traffic Control Samuel P. M. Choi, Dit-Yan Yeung
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Primitive Manipulation Learning with Connectionism Yoky Matsuoka
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Pruning with Generalization Based Weight Saliencies: λOBD, λOBS Morten With Pedersen, Lars Kai Hansen, Jan Larsen
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Quadratic-Type Lyapunov Functions for Competitive Neural Networks with Different Time-Scales Anke Meyer-Bäse
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Rapid Quality Estimation of Neural Network Input Representations Kevin J. Cherkauer, Jude W. Shavlik
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Recurrent Neural Networks for Missing or Asynchronous Data Yoshua Bengio, Francois Gingras
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Recursive Estimation of Dynamic Modular RBF Networks Visakan Kadirkamanathan, Maha Kadirkamanathan
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Reinforcement Learning by Probability Matching Philip N. Sabes, Michael I. Jordan
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REMAP: Recursive Estimation and Maximization of a Posteriori Probabilities - Application to Transition-Based Connectionist Speech Recognition Yochai Konig, Hervé Bourlard, Nelson Morgan
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Reorganisation of Somatosensory Cortex After Tactile Training Rasmus S. Petersen, John G. Taylor
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Sample Complexity for Learning Recurrent Perceptron Mappings Bhaskar DasGupta, Eduardo D. Sontag
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SEEMORE: A View-Based Approach to 3-D Object Recognition Using Multiple Visual Cues Bartlett W. Mel
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Selective Attention for Handwritten Digit Recognition Ethem Alpaydin
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Silicon Models for Auditory Scene Analysis John Lazzaro, John Wawrzynek
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Simulation of a Thalamocortical Circuit for Computing Directional Heading in the Rat Hugh T. Blair
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Softassign Versus SoftMax: Benchmarks in Combinatorial Optimization Steven Gold, Anand Rangarajan
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Some Results on Convergent Unlearning Algorithm Serguei A. Semenov, Irina B. Shuvalova
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SPERT-II: A Vector Microprocessor System and Its Application to Large Problems in Backpropagation Training John Wawrzynek, Krste Asanovic, Brian Kingsbury, James Beck, David Johnson, Nelson Morgan
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Stable Dynamic Parameter Adaption Stefan M. Rüger
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Stable Fitted Reinforcement Learning Geoffrey J. Gordon
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Stable LInear Approximations to Dynamic Programming for Stochastic Control Problems with Local Transitions Benjamin Van Roy, John N. Tsitsiklis
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Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang
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Stochastic Hillclimbing as a Baseline Method for Evaluating Genetic Algorithms Ari Juels, Martin Wattenberg
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Stock Selection via Nonlinear Multi-Factor Models Asriel E. Levin
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Strong Unimodality and Exact Learning of Constant Depth Μ-Perceptron Networks Mario Marchand, Saeed Hadjifaradji
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Symplectic Nonlinear Component Analysis Lucas C. Parra
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Tempering Backpropagation Networks: Not All Weights Are Created Equal Nicol N. Schraudolph, Terrence J. Sejnowski
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Temporal Coding in the Sub-Millisecond Range: Model of Barn Owl Auditory Pathway Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner
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Temporal Difference Learning in Continuous Time and Space Kenji Doya
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The Capacity of a Bump Gary William Flake
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The Gamma MLP for Speech Phoneme Recognition Steve Lawrence, Ah Chung Tsoi, Andrew D. Back
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The Geometry of Eye Rotations and Listing's Law Amir A. Handzel, Tamar Flash
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The Role of Activity in Synaptic Competition at the Neuromuscular Junction Samuel R. H. Joseph, David J. Willshaw
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Universal Approximation and Learning of Trajectories Using Oscillators Pierre Baldi, Kurt Hornik
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Unsupervised Pixel-Prediction William R. Softky
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Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence Scott Makeig, Tzyy-Ping Jung, Terrence J. Sejnowski
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Using Pairs of Data-Points to Define Splits for Decision Trees Geoffrey E. Hinton, Michael Revow
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Using the Future to "Sort Out" the Present: Rankprop and Multitask Learning for Medical Risk Evaluation Rich Caruana, Shumeet Baluja, Tom Mitchell
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Using Unlabeled Data for Supervised Learning Geoffrey G. Towell
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Visual Gesture-Based Robot Guidance with a Modular Neural System Enno Littmann, Andrea Drees, Helge Ritter
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VLSI Model of Primate Visual Smooth Pursuit Ralph Etienne-Cummings, Jan Van der Spiegel, Paul Mueller
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When Is an Integrate-and-Fire Neuron like a Poisson Neuron? Charles F. Stevens, Anthony M. Zador
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Worst-Case Loss Bounds for Single Neurons David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth
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