Conferences in DBLP
Humbert Suarez , Christof Koch , Rodney J. Douglas Direction Selectivity In Primary Visual Cortex Using Massive Intracortical Connections. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:3-10 [Conf ] Donald W. Mathis , Michael Mozer On the Computational Utility of Consciousness. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:11-18 [Conf ] Tom Brashers-Krug , Reza Shadmehr , Emanuel Todorov Catastrophic Interference in Human Motor Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:19-26 [Conf ] Michiro Negishi Grammar Learning by a Self-Organizing Network. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:27-34 [Conf ] Eytan Ruppin , James A. Reggia Patterns of damage in neural networks: The effects of lesion area, shape and number. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:35-42 [Conf ] Daniel M. Wolpert , Zoubin Ghahramani , Michael I. Jordan Forward dynamic models in human motor control: Psychophysical evidence. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:43-50 [Conf ] Neil Burgess A solvable connectionist model of immediate recall of ordered lists. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:51-58 [Conf ] Rainer Malaka , Thomas Ragg , Martin Hammer A Model for Chemosensory Reception. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:61-68 [Conf ] Nicholas T. Carnevale , Kenneth Y. Tsai , Brenda J. Claiborne , Thomas H. Brown The Electrotonic Transformation: a Tool for Relating Neuronal Form to Function. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:69-76 [Conf ] Michael E. Hasselmo , Eric Schnell , Joshua Berke , Edi Barkai A model of the hippocampus combibing self-organization and associative memory function. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:77-84 [Conf ] Sean D. Murphy , Edward W. Kairiss Model of a Biological Neuron as a Temporal Neural Network. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:85-91 [Conf ] E. Erwin , Klaus Obermayer , Klaus Schulten A Critical Comparison of Models for Orientation and Ocular Dominance Columns in the Striate Cortex. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:93-100 [Conf ] Kenji Doya , Terrence J. Sejnowski A Novel Reinforcement Model of Birdsong Vocalization Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:101-108 [Conf ] Joseph Sirosh , Risto Miikkulainen Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual Cortex. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:109-116 [Conf ] Kalanit Grill Spector , Shimon Edelman , Rafael Malach Anatomical origin and computational role of diversity in the response properties of cortical neurons. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:117-124 [Conf ] Alexandre Pouget , Cedric Deffayet , Terrence J. Sejnowski Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn Owl. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:125-132 [Conf ] Svilen Tzonev , Klaus Schulten , Joseph G. Malpeli Morphogenesis of the Lateral Geniculate Nucleus: How Singularities Affect Global Structure. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:133-140 [Conf ] Todd S. Braver , Jonathan D. Cohen , David Servan-Schreiber A Computational Model of Prefrontal Cortex Function. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:141-148 [Conf ] Eytan Ruppin , James A. Reggia , David Horn A Neural Model of Delusions and Hallucinations in Schizophrenia. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:149-156 [Conf ] Alexandre Pouget , Terrence J. Sejnowski Spatial Representations in the Parietal Cortex May Use Basis Functions. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:157-164 [Conf ] Richard S. Zemel , Terrence J. Sejnowski Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:165-172 [Conf ] William E. Skaggs , James J. Knierim , Hemant S. Kudrimoti , Bruce L. McNaughton A Model of the Neural Basis of the Rat's Sense of Direction. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:173-180 [Conf ] Wolfgang Maass On the Computational Complexity of Networks of Spiking Neurons. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:183-190 [Conf ] Babak Hassibi , Thomas Kailath Optimal Training Algorithms and their Relation to Backpropagation. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:191-198 [Conf ] DeLiang L. Wang , David Terman Synchrony and Desynchrony in Neural Oscillator Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:199-206 [Conf ] Peter Sollich Learning in large linear perceptrons and why the thermodynamic limit is relevant to the real world. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:207-214 [Conf ] Adam Kowalczyk , Herman L. Ferrá Generalisation in Feedforward Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:215-222 [Conf ] Todd K. Leen From Data Distributions to Regularization in Invariant Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:223-230 [Conf ] Anders Krogh , Jesper Vedelsby Neural Network Ensembles, Cross Validation, and Active Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:231-238 [Conf ] Corinna Cortes , Lawrence D. Jackel , Wan-Ping Chiang Limits in Learning Machine Accuracy Imposed by Data Quality. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:239-246 [Conf ] Gustavo Deco , Wilfried Brauer Higher Order Statistical Decorrelation without Information Loss. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:247-254 [Conf ] Glenn Marion , David Saad Hyperparameters Evidence and Generalisation for an Unrealisable Rule. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:255-262 [Conf ] Changfeng Wang , Santosh S. Venkatesh Temporal Dynamics of Generalization in Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:263-270 [Conf ] Toru Ohira , Jack D. Cowan Stochastic Dynamics of Three-State Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:271-278 [Conf ] Mario Marchand , Saeed Hadjifaradji Learning Stochastic Perceptrons Under k-Blocking Distributions. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:279-286 [Conf ] Peter Sollich , David Saad Learning from queries for maximum information gain in imperfectly learnable problems. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:287-294 [Conf ] Ronny Meir Bias, Variance and the Combination of Least Squares Estimators. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:295-302 [Conf ] N. Barkai , H. Sebastian Seung , Haim Sompolinsky On-line Learning of Dichotomies. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:303-310 [Conf ] José Carlos Príncipe , Jyh-Ming Kuo Dynamic Modelling of Chaotic Time Series with Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:311-318 [Conf ] Jianfeng Feng , Hong Pan , Vwani P. Roychowdhury A Rigorous Analysis of Linsker-Type Hebbian Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:319-326 [Conf ] Michael J. Turmon , Terrence Fine Sample Size Requirements for Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:327-334 [Conf ] Sayandev Mukherjee , Terrence Fine Asymptotics of Gradient-based Neural Network Training Algorithms. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:335-342 [Conf ] Tommi Jaakkola , Satinder P. Singh , Michael I. Jordan Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:345-352 [Conf ] Mance E. Harmon , Leemon C. Baird III , A. Harry Klopf Advantage Updating Applied to a Differrential Game. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:353-360 [Conf ] Satinder P. Singh , Tommi Jaakkola , Michael I. Jordan Reinforcement Learning with Soft State Aggregation. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:361-368 [Conf ] Justin A. Boyan , Andrew W. Moore Generalization in Reinforcement Learning: Safely Approximating the Value Function. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:369-376 [Conf ] Andrew McCallum Instance-Based State Identification for Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:377-384 [Conf ] Sebastian Thrun , Anton Schwartz Finding Structure in Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:385-392 [Conf ] Steven J. Bradtke , Michael O. Duff Reinforcement Learning Methods for Continuous-Time Markov Decision Problems. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:393-400 [Conf ] Robert H. Crites , Andrew G. Barto An Actor/Critic Algorithm that is Equivalent to Q-Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:401-408 [Conf ] Yaser S. Abu-Mostafa Financial Applications of Learning from Hints. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:411-418 [Conf ] Volker Tresp , Michiaki Taniguchi Combining Estimators Using Non-Constant Weighting Functions. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:419-426 [Conf ] Yoshua Bengio , Paolo Frasconi An Input Output HMM Architecture. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:427-434 [Conf ] Lawrence K. Saul , Michael I. Jordan Boltzmann Chains and Hidden Markov Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:435-442 [Conf ] Gerhard Paass , Jörg Kindermann Bayesian Query Construction for Neural Network Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:443-450 [Conf ] Shumeet Baluja , Dean Pomerleau Using a Saliency Map for Active Spatial Selective Attention: Implementation & Initial Results. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:451-458 [Conf ] Thomas Hofmann , Joachim M. Buhmann Multidimensional Scaling and Data Clustering. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:459-466 [Conf ] Anthony J. Bell , Terrence J. Sejnowski A Non-linear Information Maximisation Algorithm that Performs Blind Separation. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:467-474 [Conf ] Nicol N. Schraudolph , Terrence J. Sejnowski Plasticity-Mediated Competitive Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:475-480 [Conf ] Fu-Sheng Tsung , Garrison W. Cottrell Phase-Space Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:481-488 [Conf ] David A. Nix , Andreas S. Weigend Learning Local Error Bars for Nonlinear Regression. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:489-496 [Conf ] Jörg Bruske , Gerald Sommer Dynamic Cell Structures. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:497-504 [Conf ] Sebastian Thrun Extracting Rules from Artifical Neural Networks with Distributed Representations. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:505-512 [Conf ] Bruce Graham , David J. Willshaw Capacity and Information Efficiency of a Brain-like Associative Net. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:513-520 [Conf ] Michael R. Berthold , Jay Diamond Boosting the Performance of RBF Networks with Dynamic Decay Adjustment. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:521-528 [Conf ] Sepp Hochreiter , Jürgen Schmidhuber Simplifying Neural Nets by Discovering Flat Minima. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:529-536 [Conf ] Laurens R. Leerink , C. Lee Giles , Bill G. Horne , Marwan A. Jabri Learning with Product Units. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:537-544 [Conf ] Naonori Ueda , Ryohei Nakano Deterministic Annealing Variant of the EM Algorithm. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:545-552 [Conf ] Yoshua Bengio , Paolo Frasconi Diffusion of Credit in Markovian Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:553-560 [Conf ] Joshua B. Tenenbaum , Emanuel Todorov Factorial Learning by Clustering Features. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:561-568 [Conf ] Michael D. Lemmon , Peter T. Szymanski Interior Point Implementations of Alternating Minimization Training. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:569-576 [Conf ] Daniel L. James , Risto Miikkulainen SARDNET: A Self-Organizing Feature Map for Sequences. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:577-584 [Conf ] Léon Bottou , Yoshua Bengio Convergence Properties of the K-Means Algorithms. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:585-592 [Conf ] Kah Kay Sung , Partha Niyogi Active Learning for Function Approximation. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:593-600 [Conf ] Thomas R. Shultz , Yuriko Oshima-Takane , Yoshio Takane Analysis of Unstandardized Contributions in Cross Connected Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:601-608 [Conf ] Jay A. Alexander , Michael Mozer Template-Based Algorithms for Connectionist Rule Extraction. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:609-616 [Conf ] Zoubin Ghahramani Factorial Learning and the EM Algorithm. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:617-624 [Conf ] Bernd Fritzke A Growing Neural Gas Network Learns Topologies. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:625-632 [Conf ] Lei Xu , Michael I. Jordan , Geoffrey E. Hinton An Alternative Model for Mixtures of Experts. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:633-640 [Conf ] Christopher M. Bishop , Claire Legleye Estimating Conditional Probability Densities for Periodic Variables. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:641-648 [Conf ] Kam-Chuen Jim , Bill G. Horne , C. Lee Giles Effects of Noise on Convergence and Generalization in Recurrent Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:649-656 [Conf ] Rich Caruana Learning Many Related Tasks at the Same Time with Backpropagation. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:657-664 [Conf ] Alessandro Sperduti , David G. Stork A Rapid Graph-based Method for Arbitrary Transformation-Invariant Pattern Classification. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:665-672 [Conf ] Morten With Pedersen , Lars Kai Hansen Recurrent Networks: Second Order Properties and Pruning. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:673-680 [Conf ] Nanda Kambhatla , Todd K. Leen Classifying with Gaussian Mixtures and Clusters. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:681-688 [Conf ] Volker Tresp , Ralph Neuneier , Subutai Ahmad Efficient Methods for Dealing with Missing Data in Supervised Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:689-696 [Conf ] Bill G. Horne , C. Lee Giles An experimental comparison of recurrent neural networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:697-704 [Conf ] David A. Cohn , Zoubin Ghahramani , Michael I. Jordan Active Learning with Statistical Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:705-712 [Conf ] Steven Gold , Anand Rangarajan , Eric Mjolsness Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:713-720 [Conf ] Peter T. Kazlas , Andreas S. Weigend Direct Multi-Step Time Series Prediction Using TD-lambda. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:721-728 [Conf ] Richard Coggins , Marwan A. Jabri , Barry Flower , Stephen Pickard ICEG Morphology Classification using an Analogue VLSI Neural Network. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:731-738 [Conf ] Bradley A. Minch , Paul E. Hasler , Chris Diorio , Carver Mead A Silicon Axon. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:739-746 [Conf ] Michael P. Perrone , Leon N. Cooper The Ni1000: High Speed Parallel VLSI for Implementing Multilayer Perceptrons. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:747-754 [Conf ] Teresa Serrano-Gotarredona , Bernabé Linares-Barranco , José Luis Huertas A Real Time Clustering CMOS Neural Engine. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:755-762 [Conf ] A. J. Holmes , Alan F. Murray , Stephen Churcher , J. Hajto , M. J. Rose Pulsestream Synapses with Non-Volatile Analogue Amorphous-Silicon Memories. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:763-769 [Conf ] James Edward Steck , Steven R. Skinner , Alvaro A. Cruz-Cabrara , Elizabeth C. Behrman A Lagrangian Formulation For Optical Backpropagation Training In Kerr-Type Optical Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:771-778 [Conf ] Gert Cauwenberghs , Volnei A. Pedroni A Charge-Based Parallel Analog Vector Quantizer. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:779-787 [Conf ] Timothy K. Horiuchi An Auditory Localization and Coordinate Transform Chip. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:787-794 [Conf ] Fernando J. Pineda , Andreas G. Andreou An Analog Neural Network Inspired by Fractal Block Coding. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:795-802 [Conf ] D. Lippe , Joshua Alspector A Study of Parallel Perturbative Gradient Descent. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:803-810 [Conf ] Il Song Han , Ki-Chul Kim , Hwang-Soo Lee Implementation of Neural Hardware with the Neural VLSI of URAN in Applications with Reduced Representations. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:811-815 [Conf ] Paul E. Hasler , Chris Diorio , Bradley A. Minch , Carver Mead Single Transistor Learning Synapses. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:817-824 [Conf ] Malcolm Slaney Pattern Playback in the 90s. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:827-834 [Conf ] Steve R. Waterhouse , Anthony J. Robinson Non-linear Prediction of Acoustic Vectors Using Hierarchical Mixtures of Experts. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:835-842 [Conf ] Sidney Fels , Geoffrey E. Hinton Glove-TalkII: Mapping Hand Gestures to Speech Using Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:843-850 [Conf ] Javier R. Movellan Visual Speech Recognition with Stochastic Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:851-858 [Conf ] Ying Zhao , Richard M. Schwartz , Jason J. Sroka , John Makhoul Hierarchical Mixtures of Experts Methodology Applied to Continuous Speech Recognition. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:859-865 [Conf ] Cesare Furlanello , Diego Giuliani , Edmondo Trentin Connectionist Speaker Normalization with Generalized Resource Allocating Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:865-874 [Conf ] Eric I. Chang , Richard Lippmann Using Voice Transformations to Create Additional Training Talkers for Word Spotting. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:875-882 [Conf ] Andrew D. Back , Ah Chung Tsoi A Comparison of Discrete-Time Operator Models and for Nonlinear System Identification. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:883-890 [Conf ] Rajesh P. N. Rao , Dana H. Ballard Learning Saccadic Eye Movements Using Multiscale Spatial Filters. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:893-900 [Conf ] Steven J. Nowlan , John C. Platt A Convolutional Neural Network Hand Tracker. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:901-908 [Conf ] Trevor Darrell , Irfan A. Essa , Alex Pentland Correlation and Interpolation Networks for Real-time Expression Analysis/Synthesis. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:909-916 [Conf ] V. Sundareswaran , Lucia M. Vaina Learning direction in global motion: two classes of psychophysically-motivated models. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:917-924 [Conf ] Dawei W. Dong Associative Decorrelation Dynamics: A Theory of Self-Organization and Optimization in Feedback Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:925-932 [Conf ] Suzanna Becker JPMAX: Learning to Recognize Moving Objects as a Model-fitting Problem. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:933-940 [Conf ] Horst Bischof , Kurt Hornik PCA-Pyramids for Image Compression. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:941-948 [Conf ] Satoshi Suzuki , Hiroshi Ando Unsupervised Classification of 3D Objects from 2D Views. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:949-956 [Conf ] Steven Gold , Chien-Ping Lu , Anand Rangarajan , Suguna Pappu , Eric Mjolsness New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:957-964 [Conf ] Christopher K. I. Williams , Michael Revow , Geoffrey E. Hinton Using a neural net to instantiate a deformable model. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:965-972 [Conf ] Christoph Bregler , Stephen M. Omohundro Nonlinear Image Interpolation using Manifold Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:973-980 [Conf ] Clay Spence , John C. Pearson , Jim Bergen Coarse-to-Fine Image Search Using Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:981-988 [Conf ] Holger Schwenk , Maurice Milgram Transformation Invariant Autoassociation with Application to Handwritten Character Recognition. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:992-998 [Conf ] Trevor Hastie , Patrice Simard Learning Prototype Models for Tangent Distance. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:999-1006 [Conf ] Christopher M. Bishop Real-Time Control of a Tokamak Plasma Using Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1007-1014 [Conf ] Geoffrey E. Hinton , Michael Revow , Peter Dayan Recognizing Handwritten Digits Using Mixtures of Linear Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1015-1022 [Conf ] Terence D. Sanger Optimal Movement Primitives. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1023-1030 [Conf ] Ke Liu , Robert L. Tokar , Brain D. McVey An Integrated Architecture of Adaptive Neural Network Control for Dynamic Systems. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1031-1038 [Conf ] Dean Pomerleau A Connectionist Technique for Accelerated Textual Input: Letting a Network Do the Typing. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1039-1046 [Conf ] Jürgen Schmidhuber , Stefan Heil Predictive Coding with Neural Nets: Application to Text Compression. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1047-1054 [Conf ] Richard Lippmann , Linda Kukolich , David Shahian Predicting the Risk of Complications in Coronary Artery Bypass Operations using Neural Networks. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1055-1062 [Conf ] Harry B. Burke , David B. Rosen , Philip H. Goodman Comparing the prediction accuracy of artifical neural networks and other statistical models for breast cancer survival. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1063-1067 [Conf ] Sebastian Thrun Learning to Play the Game of Chess. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1069-1076 [Conf ] Magnus Stensmo , Terrence J. Sejnowski A Mixture Model System for Medical and Machine Diagnosis. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1077-1084 [Conf ] Padhraic Smyth , Usama M. Fayyad , Michael C. Burl , Pietro Perona , Pierre Baldi Inferring Ground Truth from Subjective Labelling of Venus Images. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1085-1092 [Conf ] Stefan Manke , Michael Finke , Alex Waibel The Use of Dynamic Writing Information in a Connectionist On-Line Cursive Handwriting Recognition System. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1093-1100 [Conf ] Minoru Asogawa Adaptive Elastic Input Field for Recognition Improvement. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1101-1108 [Conf ] David Price , Stefan Knerr , Léon Personnaz , Gérard Dreyfus Pairwise Neural Network Classifiers with Probabilistic Outputs. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1109-1116 [Conf ] Reza Shadmehr , Tom Brashers-Krug , Ferdinando A. Mussa-Ivaldi Interference in Learning Internal Models of Inverse Dynamics in Humans. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1117-1124 [Conf ] Zoubin Ghahramani , Daniel M. Wolpert , Michael I. Jordan Computational Structure of coordinate transformations: A generalization study. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:1125-1132 [Conf ]