Conferences in DBLP
Nathan Intrator On the Use of Projection Pursuit Constraints for Training Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Andreas Stolcke , Stephen M. Omohundro Hidden Markov Model} Induction by Bayesian Model Merging. [Citation Graph (0, 0)][DBLP ] Conf ] Kai-Yeung Siu , Vwani P. Roychowdhury , Thomas Kailath Computing with Almost Optimal Size Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Janet Wiles , Mark Ollila Intersecting Regions: The Key to Combinatorial Structure in Hidden Unit Space. [Citation Graph (0, 0)][DBLP ] Conf ] Tony Plate Holographic Recurrent Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Harris Drucker , Robert E. Schapire , Patrice Simard Improving Performance in Neural Networks Using a Boosting Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Patrice Simard , Yann LeCun , John S. Denker Efficient Pattern Recognition Using a New Transformation Distance. [Citation Graph (0, 0)][DBLP ] Conf ] Kai-Yeung Siu , Vwani P. Roychowdhury Optimal Depth Neural Networks for Multiplication and Related Problems. [Citation Graph (0, 0)][DBLP ] Conf ] Sreerupa Das , C. Lee Giles , Guo-Zheng Sun Using Prior Knowledge in a {NNPDA} to Learn Context-Free Languages. [Citation Graph (0, 0)][DBLP ] Conf ] Yaser S. Abu-Mostafa A Method for Learning From Hints. [Citation Graph (0, 0)][DBLP ] Conf ] Charles W. Anderson Q-Learning with Hidden-Unit Restarting. [Citation Graph (0, 0)][DBLP ] Conf ] J. Stephen Judd , Paul W. Munro Nets with Unreliable Hidden Nodes Learn Error-Correcting Codes. [Citation Graph (0, 0)][DBLP ] Conf ] Richard K. Belew Interposing an Ontogenetic Model Between Genetic Algorithms and Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] J. Jeffrey Mahoney , Raymond J. Mooney Combining Neural and Symbolic Learning to Revise Probabilistic Rule Bases. [Citation Graph (0, 0)][DBLP ] Conf ] Mark B. Ring Learning Sequential Tasks by Incrementally Adding Higher Orders. [Citation Graph (0, 0)][DBLP ] Conf ] Bernd Fritzke Kohonen Feature Maps and Growing Cell Structures - a Performance Comparison. [Citation Graph (0, 0)][DBLP ] Conf ] Brian V. Bonnlander , Michael Mozer Metamorphosis Networks: An Alternative to Constructive Models. [Citation Graph (0, 0)][DBLP ] Conf ] Eric I. Chang , Richard Lippmann A Boundary Hunting Radial Basis Function Classifier which Allocates Centers Constructively. [Citation Graph (0, 0)][DBLP ] Conf ] Isabelle Guyon , Bernhard E. Boser , Vladimir Vapnik Automatic Capacity Tuning of Very Large VC-Dimension Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Yann LeCun , Patrice Simard , Barak A. Pearlmutter Automatic Learning Rate Maximization in Large Adaptive Machines. [Citation Graph (0, 0)][DBLP ] Conf ] Babak Hassibi , David G. Stork Second Order Derivatives for Network Pruning: Optimal Brain Surgeon. [Citation Graph (0, 0)][DBLP ] Conf ] Richard S. Zemel , Christopher K. I. Williams , Michael Mozer Directional-Unit Boltzmann Machines. [Citation Graph (0, 0)][DBLP ] Conf ] Guo-Zheng Sun , Hsing-Hen Chen , Yee-Chun Lee Time Warping Invariant Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Enno Littmann , Helge Ritter Generalization Abilities of Cascade Network Architecture. [Citation Graph (0, 0)][DBLP ] Conf ] Gerhard Paass Assessing and Improving Neural Network Predictions by the Bootstrap Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Lorien Y. Pratt Discriminability-Based Transfer between Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Barry Flower , Marwan A. Jabri Summed Weight Neuron Perturbation: An O(N) Improvement Over Weight Perturbation. [Citation Graph (0, 0)][DBLP ] Conf ] Virginia R. de Sa , Dana H. Ballard A Note on Learning Vector Quantization. [Citation Graph (0, 0)][DBLP ] Conf ] William Finnoff , Ferdinand Hergert , Hans-Georg Zimmermann Extended Regularization Methods for Nonconvergent Model Selection. [Citation Graph (0, 0)][DBLP ] Conf ] Bill Baird , Todd Troyer , Frank H. Eeckman Synchronization and Grammatical Inference in an Oscillating Elman Net. [Citation Graph (0, 0)][DBLP ] Conf ] Gert Cauwenberghs A Fast Stochastic Error-Descent Algorithm for Supervised Learning and Optimization. [Citation Graph (0, 0)][DBLP ] Conf ] David DeMers , Kenneth Kreutz-Delgado Global Regularization of Inverse Kinematics for Redundant Manipulators. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew W. Moore , Christopher G. Atkeson Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Dayan , Geoffrey E. Hinton Feudal Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Dean Pomerleau Input Reconstruction Reliability Estimation. [Citation Graph (0, 0)][DBLP ] Conf ] Tom M. Mitchell , Sebastian Thrun Explanation-Based Neural Network Learning for Robot Control. [Citation Graph (0, 0)][DBLP ] Conf ] Steven J. Bradtke Reinforcement Learning Applied to Linear Quadratic Regulation. [Citation Graph (0, 0)][DBLP ] Conf ] Christopher Bowman Neural Network On-Line Learning Control of Spacecraft Smart Structures. [Citation Graph (0, 0)][DBLP ] Conf ] Yoji Uno , Naohiro Fukumura , Ryoji Suzuki , Mitsuo Kawato Integration of Visual and Somatosensory Information for Preshaping Hand in Grasping Movements. [Citation Graph (0, 0)][DBLP ] Conf ] James K. Peterson On Line Estimation of Optimal Control Sequences: HJB Estimators. [Citation Graph (0, 0)][DBLP ] Conf ] Vijaykumar Gullapalli Learning Control Under Extreme Uncertainty. [Citation Graph (0, 0)][DBLP ] Conf ] Terence D. Sanger A Practice Strategy for Robot Learning Control. [Citation Graph (0, 0)][DBLP ] Conf ] Gerald Fahner , Rolf Eckmiller Learning Spatio-Temporal Planning from a Dynamic Programming Teacher: Feed-Forward Neurocontrol for Moving Obstacle Avoidance. [Citation Graph (0, 0)][DBLP ] Conf ] Charles M. Higgins , Rodney M. Goodman Learning Fuzzy Rule-Based Neural Networks for Control. [Citation Graph (0, 0)][DBLP ] Conf ] Suzanna Becker Learning to Categorize Objects Using Temporal Coherence. [Citation Graph (0, 0)][DBLP ] Conf ] Steven J. Nowlan , Terrence J. Sejnowski Filter Selection Model for Generating Visual Motion Signals. [Citation Graph (0, 0)][DBLP ] Conf ] Edward Stern , Ad Aertsen , Eilon Vaadia , Shaul Hochstein Stimulus Encoding by Multidimensional Receptive Fields in Single Cells and Cell Populations in V1 of Awake Monkey. [Citation Graph (0, 0)][DBLP ] Conf ] Suthep Madarasmi , Daniel Kersten , Ting-Chuen Pong The Computation of Stereo Disparity for Transparent and for Opaque Surfaces. [Citation Graph (0, 0)][DBLP ] Conf ] Subutai Ahmad , Volker Tresp Some Solutions to the Missing Feature Problem in Vision. [Citation Graph (0, 0)][DBLP ] Conf ] Joachim Utans , Gene Gindi Improving Convergence in Hierarchical Matching Networks for Object Recognition. [Citation Graph (0, 0)][DBLP ] Conf ] Carlos D. Brody A Model of Feedback to the Lateral Geniculate Nucleus. [Citation Graph (0, 0)][DBLP ] Conf ] Kevin E. Martin , Jonathan A. Marshall Unsmearing Visual Motion: Development of Long-Range Horizontal Intrinsic Connections. [Citation Graph (0, 0)][DBLP ] Conf ] Hayit Greenspan , Rodney M. Goodman Remote Sensing Image Analysis via a Texture Classification Neural Network. [Citation Graph (0, 0)][DBLP ] Conf ] Markus Lappe , Josef P. Rauschecker Computation of Heading Direction from Optic Flow in Visual Cortex. [Citation Graph (0, 0)][DBLP ] Conf ] Gale Martin , Mosfeq Rashid , David Chapman , James A. Pittman Learning to See Where and What: Training a Net to Make Saccades and Recognize Handwritten Characters. [Citation Graph (0, 0)][DBLP ] Conf ] Todd K. Leen , John E. Moody Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria. [Citation Graph (0, 0)][DBLP ] Conf ] William Finnoff Diffusion Approximations for the Constant Step Size Backpropagation Algorithm and Resistance to Local Minima. [Citation Graph (0, 0)][DBLP ] Conf ] Lei Xu , Alan L. Yuille Self-Organizing Rules for Robust Principal Component Analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Radford M. Neal Bayesian Learning via Stochastic Dynamics. [Citation Graph (0, 0)][DBLP ] Conf ] Yoav Freund , H. Sebastian Seung , Eli Shamir , Naftali Tishby Information, Prediction, and Query by Committee. [Citation Graph (0, 0)][DBLP ] Conf ] Alan F. Murray , Peter J. Edwards Synaptic Weight Noise During MLP Learning Enhances Fault-Tolerance, Generalization and Learning Trajectory. [Citation Graph (0, 0)][DBLP ] Conf ] Nicol N. Schraudolph , Terrence J. Sejnowski Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain. [Citation Graph (0, 0)][DBLP ] Conf ] Genevieve B. Orr , Todd K. Leen Weight Space Probability Densities in Stochastic Learning: II. Transients and Basin Hopping Times. [Citation Graph (0, 0)][DBLP ] Conf ] Satoru Shiono , Satoshi Yamada , Michio Nakashima , Kenji Matsumoto Information Theoretic Analysis of Connection Structure from Spike Trains. [Citation Graph (0, 0)][DBLP ] Conf ] Holm Schwarze , John A. Hertz Statistical Mechanics of Learning in a Large Committee Machine. [Citation Graph (0, 0)][DBLP ] Conf ] John W. Miller , Rodney M. Goodman Probability Estimator from a Database Using a Gibbs Energy Model. [Citation Graph (0, 0)][DBLP ] Conf ] David Wolpert On the Use of Evidence in Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Bernard Doyon , Bruno Cessac , Mathias Quoy , Manuel Samuelides Destabilization and Route to Chaos in Neural Networks with Random Connectivity. [Citation Graph (0, 0)][DBLP ] Conf ] Ali A. Minai , William B. Levy Predicting Complex Behavior in Sparse Asymmetric Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Isaac Meilijson , Eytan Ruppin , Moshe Sipper Single-Iteration Threshold Hamming Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Isaac Meilijson , Eytan Ruppin History-Dependent Attractor Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] David DeMers , Garrison W. Cottrell Non-Linear Dimensionality Reduction. [Citation Graph (0, 0)][DBLP ] Conf ] Mostefa Golea , Mario Marchand , Thomas R. Hancock On Learning µ-Perceptron Networks with Binary Weights. [Citation Graph (0, 0)][DBLP ] Conf ] Yong Liu Neural Network Model Selection Using Asymptotic Jackknife Estimator and Cross-Validation Method. [Citation Graph (0, 0)][DBLP ] Conf ] Noboru Murata , Shuji Yoshizawa , Shun-ichi Amari Learning Curves, Model Selection and Complexity of Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Bhaskar DasGupta , Georg Schnitger The Power of Approximation: A Comparison of Activation Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Uwe Helmke , Robert C. Williamson Rational Parametrizations of Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] N. H. Wulff , John A. Hertz Learning Cellular Automation Dynamics with Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Adam Kowalczyk Some Estimates on the Number of Connections and Hidden Units for Feed-Forward Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Cohen , Horacio Franco , Nelson Morgan , David E. Rumelhart , Victor Abrash Context-Dependent Multiple Distribution Phonetic Modeling with MLPs. [Citation Graph (0, 0)][DBLP ] Conf ] Makoto Hirayama , Eric Vatikiotis-Bateson , Kiyoshi Honda , Yasuharu Koike , Mitsuo Kawato Physiologically Based Speech Synthesis. [Citation Graph (0, 0)][DBLP ] Conf ] Weimin Liu , Andreas G. Andreou , Moise H. Goldstein Jr. Analog Cochlear Model for Multiresolution Speech Analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Wei-Tsih Lee , John C. Pearson A Hybrid Linear/Nonlinear Approach to Channel Equalization Problems. [Citation Graph (0, 0)][DBLP ] Conf ] Yochai Konig , Nelson Morgan , Chuck Wooters , Victor Abrash , Michael Cohen , Horacio Franco Modeling Consistency in a Speaker Independent Continuous Speech Recognition System. [Citation Graph (0, 0)][DBLP ] Conf ] José Carlos Príncipe , Abir Zahalka Transient Signal Detection with Neural Networks: The Search for the Desired Signal. [Citation Graph (0, 0)][DBLP ] Conf ] Joe Tebelskis , Alex Waibel Performance Through Consistency: MS-TDNN's for Large Vocabulary Continuous Speech Recognition. [Citation Graph (0, 0)][DBLP ] Conf ] George Zavaliagkos , Ying Zhao , Richard M. Schwartz , John Makhoul A Hybrid Neural Net System for State-of-the-Art Continuous Speech Recognition. [Citation Graph (0, 0)][DBLP ] Conf ] Hermann Hild , Alex Waibel Connected Letter Recognition with a Multi-State Time Delay Neural Network. [Citation Graph (0, 0)][DBLP ] Conf ] Markus Schenkel , H. Weissman , Isabelle Guyon , C. Nohl , Donnie Henderson Recognition-Based Segmentation of On-Line Hand-Printed Words. [Citation Graph (0, 0)][DBLP ] Conf ] Esther Levin , Roberto Pieraccini Planar Hidden Markov Modeling: From Speech to Optical Character Recognition. [Citation Graph (0, 0)][DBLP ] Conf ] Jen-Lun Yuan , Terrence Fine Forecasting Demand for Electric Power. [Citation Graph (0, 0)][DBLP ] Conf ] Pierre Baldi , Yves Chauvin , Tim Hunkapiller , Marcella A. McClure Hidden Markov Models in Molecular Biology: New Algorithms and Applications. [Citation Graph (0, 0)][DBLP ] Conf ] Charles R. Rosenberg , Jcaob Erel , Henri Atlan A Neural Network that Learns to Interpret Myocardial Planar Thallium Scintigrams. [Citation Graph (0, 0)][DBLP ] Conf ] Janeen Anderson , John C. Platt , David Kirk An Analog VLSI Chip for Radial Basis Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Stephen Churcher , Donald J. Baxter , Alister Hamilton , Alan F. Murray , H. Martin Reekie Generic Analog Neural Computation - The Epsilon Chip. [Citation Graph (0, 0)][DBLP ] Conf ] Rahul Sarpeshkar , Wyeth Bair , Christof Koch Visual Motion Computation in Analog VLSI Using Pulses. [Citation Graph (0, 0)][DBLP ] Conf ] David B. Kirch , Douglas Kerns , Kurt W. Fleischer , Alan H. Barr Analog VLSI Implementation of Gradient Descent. [Citation Graph (0, 0)][DBLP ] Conf ] Alexander Linden , Thomas Sudbrak , Christoph Tietz , F. Weber An Object-Oriented Framework for the Simulation of Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Eros Pasero , Riccardo Zecchina Attractor Neural Networks with Local Inhibition: From Statistical Physics to a Digitial Programmable Integrated Circuit. [Citation Graph (0, 0)][DBLP ] Conf ] Sylvie Renaud-Le Masson , Gwendal Le Masson , Eve Marder , L. F. Abbott Hybrid Circuits of Interacting Computer Model and Biological Neurons. [Citation Graph (0, 0)][DBLP ] Conf ] John Lazzaro , John Wawrzynek , Misha Mahowald , Massimo Sivilotti , Dave Gillespie Silicon Auditory Processors as Computer Peripherals. [Citation Graph (0, 0)][DBLP ] Conf ] Christof Koch , Binnal Mathur , Shih-Chii Liu , John G. Harris , Jin Luo , Massimo Sivilotti Object-Based Analog VLSI Vision Circuits. [Citation Graph (0, 0)][DBLP ] Conf ] Joshua Alspector , Ronny Meir , B. Yuhas , Anthony Jayakumar , D. Lippe A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Paul Smolensky Harmonic Grammars for Formal Languages. [Citation Graph (0, 0)][DBLP ] Conf ] Dedre Gentner , Arthur B. Markman Analogy - Watershed or Waterloo? Structural Alignment and the Development of Connectionist Models of Cognition. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Mozer , Sreerupa Das A Connectionist Symbol Manipulator that Discovers the Structure of Context-Free Languages. [Citation Graph (0, 0)][DBLP ] Conf ] Volker Tresp , Jürgen Hollatz , Subutai Ahmad Network Structuring and Training Using Rule-Based Knowledge. [Citation Graph (0, 0)][DBLP ] Conf ] Daphne Bavelier , Michael I. Jordan A Dynamical Model of Priming and Repetition Blindness. [Citation Graph (0, 0)][DBLP ] Conf ] Geoffrey G. Towell , Richard Lehrer A Knowledge-Based Model of Geometry Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Hinrich Schütze Word Space. [Citation Graph (0, 0)][DBLP ] Conf ] Rainer Goebel Perceiving Complex Visual Scenes: An Oscillator Neural Network Model that Integrates Selective Attention, Perceptual Organization, and Invariant Recognition. [Citation Graph (0, 0)][DBLP ] Conf ] Kenji Doya , Mary E. T. Boyle , Allen I. Selverston Maaping Between Neural and Physical Activities of the Lobster Gastric Mill. [Citation Graph (0, 0)][DBLP ] Conf ] Mark E. Nelson A Neural Model of Descending Gain Control in the Electrosensory System. [Citation Graph (0, 0)][DBLP ] Conf ] Neil Burgess , John O'Keefe , Michael Recce Using Hippocampal `Plane Cells' for Navigation, Exploiting Phase Coding. [Citation Graph (0, 0)][DBLP ] Conf ] Mark A. Gluck , Catherine Myers Adaptive Stimulus Representations: A Computational Theory of Hippocampal-Region Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Itay Gat , Naftali Tishby Statistical Modeling of Cell Assemblies Activities in Associative Cortex of Behaving Monkeys. [Citation Graph (0, 0)][DBLP ] Conf ] Ralph Linsker Deriving Receptive Fields Using an Optimal Encoding Criterion. [Citation Graph (0, 0)][DBLP ] Conf ] Olivier J. M. D. Coenen , Terrence J. Sejnowski , Stephen G. Lisberger Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex. [Citation Graph (0, 0)][DBLP ] Conf ] P. Read Montague , Peter Dayan , Steven J. Nowlan , Terrence J. Sejnowski Using Aperiodic Reinforcement for Directed Self-Organization During Development. [Citation Graph (0, 0)][DBLP ] Conf ] Klaus Pawelzik , Hans-Ulrich Bauer , J. Deppisch , Theo Geisel How Oscillatory Neuronal Responses Reflect Bistability and Switching of the Hidden Assembly Dynamics. [Citation Graph (0, 0)][DBLP ] Conf ] Geoffrey J. Goodhill Topography and Ocular Dominance with Positive Correlations. [Citation Graph (0, 0)][DBLP ] Conf ] Frank Moss , André Longtin Statistical and Dynamical Interpretation of ISIH Data from Periodically Stimulated Sensory Neurons. [Citation Graph (0, 0)][DBLP ] Conf ] John G. Milton , Po Hsiang Chu , Jack D. Cowan Spiral Waves in Integrate-and-Fire Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Lance C. Walton , David L. Bisset Parametrizing Feature Sensitive Cell Formation in Linsker Networks in the Auditory System. [Citation Graph (0, 0)][DBLP ] Conf ] Lina Massone A Recurrent Neural Network for Generation of Occular Saccades. [Citation Graph (0, 0)][DBLP ] Conf ] Christiane Linster , David Marsan , Claudine Masson , Michel Kerszberg , Gérard Dreyfus , Léon Personnaz A Formal Model of the Insect Olfactory Macroglomerulus: Simulations and Analytic Results. [Citation Graph (0, 0)][DBLP ] Conf ] William E. Skaggs , Bruce L. McNaughton , Katalin M. Gothard An Information-Theoretic Approach to Deciphering the Hippocampal Code. [Citation Graph (0, 0)][DBLP ] Conf ] 