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NIPS 1997: Denver, CO, USA
- Michael I. Jordan, Michael J. Kearns, Sara A. Solla:
Advances in Neural Information Processing Systems 10, [NIPS Conference, Denver, Colorado, USA, 1997]. The MIT Press 1998, ISBN 0-262-10076-2 - Christopher G. Atkeson:
Nonparametric Model-Based Reinforcement Learning. 1008-1014 - Hagai Attias, Christoph E. Schreiner:
Coding of Naturalistic Stimuli by Auditory Midbrain Neurons. 103-109 - Bill Baird:
Synchronized Auditory and Cognitive 40 Hz Attentional Streams, and the Impact of Rhythmic Expectation on Auditory Scene Analysis. 3-9 - Shumeet Baluja:
Using Expectation to Guide Processing: A Study of Three Real-World Applications. 859-865 - David Barber, Christopher M. Bishop:
Ensemble Learning for Multi-Layer Networks. 395-401 - David Barber, Bernhard Schottky:
Radial Basis Functions: A Bayesian Treatment. 402-408 - Mostefa Golea, Peter L. Bartlett, Wee Sun Lee, Llew Mason:
Generalization in Decision Trees and DNF: Does Size Matter? 259-265 - Jonathan Baxter, Peter L. Bartlett:
The Canonical Distortion Measure in Feature Space and 1-NN Classification. 245-251 - Holger Schwenk, Yoshua Bengio:
Training Methods for Adaptive Boosting of Neural Networks. 647-653 - Yoshua Bengio, Samy Bengio, Jean-Franc Isabelle, Yoram Singer:
Shared Context Probabilistic Transducers. 409-415 - Michael J. Berry II, Markus Meister:
Refractoriness and Neural Precision. 110-116 - Christopher M. Bishop, Neil D. Lawrence, Tommi S. Jaakkola, Michael I. Jordan:
Approximating Posterior Distributions in Belief Networks Using Mixtures. 416-422 - Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper:
Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules. 423-429 - Vasken Bohossian, Jehoshua Bruck:
Multiple Threshold Neural Logic. 252-258 - Matthias Burger, Thore Graepel, Klaus Obermayer:
An Annealed Self-Organizing Map for Source Channel Coding. 430-436 - Zehra Cataltepe, Malik Magdon-Ismail:
Incorporating Test Inputs into Learning. 437-443 - Steve A. Chien, Andre Stechert, Darren Mutz:
On Efficient Heuristic Ranking of Hypotheses. 444-450 - William W. Cohen, Robert E. Schapire, Yoram Singer:
Learning to Order Things. 451-457 - Matthew N. Dailey, Garrison W. Cottrell:
Task and Spatial Frequency Effects on Face Specialization. 17-23 - Peter Dayan, Theresa Long:
Statistical Models of Conditioning. 117-123 - Jeremy S. De Bonet, Paul A. Viola:
Structure Driven Image Database Retrieval. 866-872 - Jeremy S. De Bonet, Paul A. Viola:
A Non-Parametric Multi-Scale Statistical Model for Natural Images. 773-779 - R. Christopher DeCharms, Michael Merzenich:
Characterizing Neurons in the Primary Auditory Cortex of the Awake Primate Using Reverse Correlation. 124-130 - Virginia R. de Sa, R. Christopher DeCharms, Michael Merzenich:
Using Helmholtz Machines to Analyze Multi-channel Neuronal Recordings. 131-137 - Ernst R. Dow, Thomas J. Anastasio:
Instabilities in Eye Movement Control: A Model of Periodic Alternating Nystagmus. 138-144 - Ran El-Yaniv, Shai Fine, Naftali Tishby:
Agnostic Classification of Markovian Sequences. 465-471 - Ralph Etienne-Cummings, Donghui Cai:
A General Purpose Image Processing Chip: Orientation Detection. 873-879 - Raphaël Féraud, Olivier Bernier:
Ensemble and Modular Approaches for Face Detection: A Comparison. 472-478 - David J. Foster, Richard G. M. Morris, Peter Dayan:
Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning. 145-151 - William T. Freeman, Paul A. Viola:
Bayesian Model of Surface Perception. 787-793 - João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee:
Regularisation in Sequential Learning Algorithms. 458-464 - Brendan J. Frey, David J. C. MacKay:
A Revolution: Belief Propagation in Graphs with Cycles. 479-485 - David Andre, Nir Friedman, Ronald Parr:
Generalized Prioritized Sweeping. 1001-1007 - Davi Geiger, Archisman Rudra, Laurance T. Maloney:
Features as Sufficient Statistics. 794-800 - Zoubin Ghahramani, Geoffrey E. Hinton:
Hierarchical Non-linear Factor Analysis and Topographic Maps. 486-492 - Paul W. Goldberg, Christopher K. I. Williams, Christopher M. Bishop:
Regression with Input-dependent Noise: A Gaussian Process Treatment. 493-499 - Geoffrey J. Goodhill:
A Mathematical Model of Axon Guidance by Diffusible Factors. 159-165 - Geoffrey J. Goodhill:
Gradients for Retinotectal Mapping. 152-158 - Alexander Grunewald, Heiko Neumann:
Detection of First and Second Order Motion. 801-807 - Lucy E. Hadden:
A Neural Network Model of Naive Preference and Filial Imprinting in the Domestic Chick. 31-37 - Richard C. Wilson, Edwin R. Hancock:
Graph Matching with Hierarchical Discrete Relaxation. 689-695 - Andrew D. J. Cross, Edwin R. Hancock:
Recovering Perspective Pose with a Dual Step EM Algorithm. 780-786 - Eric A. Hansen:
An Improved Policy Iteration Algorithm for Partially Observable MDPs. 1015-1021 - Reid R. Harrison, Christof Koch:
An Analog VLSI Model of the Fly Elementary Motion Detector. 880-886 - Trevor Hastie, Robert Tibshirani:
Classification by Pairwise Coupling. 507-513 - Marcus Held, Joachim M. Buhmann:
Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis. 514-520 - Rolf D. Henkel:
A Simple and Fast Neural Network Approach to Stereovision. 808-814 - Tom Heskes:
Selecting Weighting Factors in Logarithmic Opinion Pools. 266-272 - Yuzo Hirai:
A 1, 000-Neuron System with One Million 7-bit Physical Interconnections. 705-711 - Dominik Hörnel:
MELONET I: Neural Nets for Inventing Baroque-Style Chorale Variations. 887-893 - Reimar Hofmann, Volker Tresp:
Nonlinear Markov Networks for Continuous Variables. 521-527 - Thomas Hofmann, Joachim M. Buhmann:
Active Data Clustering. 528-534 - John J. Hopfield, Carlos D. Brody, Sam T. Roweis:
Computing with Action Potentials. 166-172 - Nir Levy, David Horn, Eytan Ruppin:
Multi-modular Associative Memory. 52-58 - John F. Houde, Michael I. Jordan:
Adaptation in Speech Motor Control. 38-44 - Don R. Hush, Fernando Lozano, Bill G. Horne:
Function Approximation with the Sweeping Hinge Algorithm. 535-541 - Aapo Hyvärinen:
New Approximations of Differential Entropy for Independent Component Analysis and Projection Pursuit. 273-279 - Laurent Itti, Jochen Braun, Dale K. Lee, Christof Koch:
A Model of Early Visual Processing. 173-179 - Markus Schenkel, Cyril Latimer, Marwan A. Jabri:
Comparison of Human and Machine Word Recognition. 94-100 - Gareth James, Trevor Hastie:
The Error Coding and Substitution PaCTs. 542-548 - Sheng Ma, Chuanyi Ji:
Wavelet Models for Video Time-Series. 915-921 - Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott Makeig, Martin J. McKeown, Vicente Iragui, Terrence J. Sejnowski:
Extended ICA Removes Artifacts from Electroencephalographic Recordings. 894-900 - Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz:
Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction. 280-286 - John Kauer:
Odor Encoding by the Olfactory System - from Biology to a Receptorless Artificial Nose. NIPS 1997 - Kimmo Kiviluoto, Erkki Oja:
S-Map: A Network with a Simple Self-Organization Algorithm for Generative Topographic Mappings. 549-555 - Jyrki Kivinen, Manfred K. Warmuth:
Relative Loss Bounds for Multidimensional Regression Problems. 287-293 - Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik:
Analysis of Drifting Dynamics with Neural Network Hidden Markov Models. 735-741 - Petri Koistinen:
Asymptotic Theory for Regularization: One-Dimensional Linear Case. 294-300 - Mark Kvale, Christoph E. Schreiner:
Perturbative M-Sequences for Auditory Systems Identification. 180-186 - Thomas K. Landauer, Darrell Laham, Peter W. Foltz:
Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report. 45-51 - Daniel H. Lange, Hava T. Siegelmann, Hillel Pratt, Gideon F. Inbar:
A Generic Approach for Identification of Event Related Brain Potentials via a Competitive Neural Network Structure. 901-907 - Daniel D. Lee, H. Sebastian Seung:
A Neural Network Based Head Tracking System. 908-914 - Todd K. Leen, Bernhard Schottky, David Saad:
Two Approaches to Optimal Annealing. 301-307 - Michael S. Lewicki, Bruno A. Olshausen:
Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework. NIPS 1997 - Michael S. Lewicki, Terrence J. Sejnowski:
Learning Nonlinear Overcomplete Representations for Efficient Coding. 556-562 - M. Anthony Lewis:
Visual Navigation in a Robot Using Zig-Zag Behavior. 822-828 - Juan K. Lin:
Factorizing Multivariate Function Classes. 563-569 - Richard J. Lipton:
DNA2DNA Computation: A Potential Killer Application? NIPS 1997 - Shih-Chii Liu:
Silicon Retina with Adaptive Filtering Properties. 712-718 - Zili Liu, Daniel J. Kersten:
2D Observers for Human 3D Object Recognition? 829-835 - Erik D. Lumer:
Effects of Spike Timing Underlying Binocular Integration and Rivalry in a Neural Model of Early Visual Cortex. 187-193 - Wolfgang Maass, Anthony M. Zador:
Dynamic Stochastic Synapses as Computational Units. 194-200 - Amit Manwani, Christof Koch:
Synaptic Transmission: An Information-Theoretic Perspective. 201-207 - Peter Marbach, Oliver Mihatsch, Miriam Schulte, John N. Tsitsiklis:
Reinforcement Learning for Call Admission Control and Routing in Integrated Service Networks. 922-928 - Oded Maron, Tomás Lozano-Pérez:
A Framework for Multiple-Instance Learning. 570-576 - Alan D. Marrs:
An Application of Reversible-Jump MCMC to Multivariate Spherical Gaussian Mixtures. 577-583 - Marina Meila, Michael I. Jordan:
Estimating Dependency Structure as a Hidden Variable. 584-590 - Ron Meir:
Structural Risk Minimization for Nonparametric Time Series Prediction. 308-314 - Bartlett W. Mel, Daniel L. Ruderman, Kevin A. Archie:
Toward a Single-Cell Account for Binocular Disparity Tuning: An Energy Model May Be Hiding in Your Dendrites. 208-214 - Christopher J. Merz:
Combining Classifiers Using Correspondence Analysis. 591-597 - Jake Ryan, Meng-Jang Lin, Risto Miikkulainen:
Intrusion Detection with Neural Networks. 943-949 - Jeanne C. Milostan, Garrison W. Cottrell:
Serial Order in Reading Aloud: Connectionist Models and Neighborhood Structure. 59-65 - Paul Mineiro, Javier R. Movellan, Ruth J. Williams:
Learning Path Distributions Using Nonequilibrium Diffusion Networks. 598-604 - Jeffrey F. Monaco, David G. Ward, Andrew G. Barto:
Automated Aircraft Recovery via Reinforcement Learning: Initial Experiments. 1022-1028 - J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla E. Brodley, David Scheeff:
Learning to Schedule Straight-Line Code. 929-935 - Javier R. Movellan, Paul Mineiro:
Bayesian Robustification for Audio Visual Fusion. 742-748 - Michael Mozer, Mark Sitton, Martha J. Farah:
A Superadditive-Impairment Theory of Optic Aphasia. 66-72 - Rémi Munos, Paul Bourgine:
Reinforcement Learning for Continuous Stochastic Control Problems. 1029-1035 - Ken Nakayama:
Psychological Studies of Visual Perception. NIPS 1997 - Hans-Georg Zimmermann, Ralph Neuneier:
The Observer-Observation Dilemma in Neuro-Forecasting. 992-998 - Ralph Neuneier:
Enhancing Q-Learning for Optimal Asset Allocation. 936-942 - Randall C. O'Reilly, Kenneth A. Norman, James L. McClelland:
A Hippocampal Model of Recognition Memory. 73-79 - Yuansheng Xiong, Chulan Kwon, Jong-Hoon Oh:
The Storage Capacity of a Fully-Connected Committee Machine. 378-384 - Stephan Pareigis:
Adaptive Choice of Grid and Time in Reinforcement Learning. 1036-1042 - Antonio Turiel, Germán Mato, Néstor Parga, Jean-Pierre Nadal:
Self-similarity Properties of Natural Images. 836-842 - Ronald Parr, Stuart Russell:
Reinforcement Learning with Hierarchies of Machines. 1043-1049 - Girish N. Patel, Jeremy H. Holleman, Stephen P. DeWeerth:
Analog VLSI Model of Intersegmental Coordination with Nearest-Neighbor Coupling. 719-725 - Sophie Denève, Alexandre Pouget:
Neural Basis of Object-Centered Representations. 24-30 - Doina Precup, Richard S. Sutton:
Multi-time Models for Temporally Abstract Planning. 1050-1056 - Avner Priel, Ido Kanter, David A. Kessler:
Analytical Study of the Interplay between Architecture and Predictability. 315-321 - Rajesh P. N. Rao:
Correlates of Attention in a Model of Dynamic Visual Recognition. 80-86 - Joel Ratsaby:
An Incremental Nearest Neighbor Algorithm with Queries. 612-618 - Magnus Rattray, David Saad:
Globally Optimal On-line Learning Rules. 322-328 - Maximilian Riesenhuber, Tomaso A. Poggio:
Just One View: Invariances in Inferotemporal Cell Tuning. 215-221 - Mark B. Ring:
RCC Cannot Compute Certain FSA, Even with Arbitrary Transfer Functions. 619-625 - Adam J. Grove, Dan Roth:
Linear Concepts and Hidden Variables: An Empirical Study. 500-506 - Sam T. Roweis:
EM Algorithms for PCA and SPCA. 626-632 - Eyal Cohen, Eytan Ruppin:
On Parallel versus Serial Processing: A Computational Study of Visual Search. 10-16 - Stuart Russell:
Learning in Rational Agents. NIPS 1997 - Maneesh Sahani, John S. Pezaris, Richard A. Andersen:
On the Separation of Signals from Neighboring Cells in Tetrode Recordings. 222-228 - Lawrence K. Saul, Mazin G. Rahim:
Modeling Acoustic Correlations by Factor Analysis. 749-755 - Stefan Schaal, Sethu Vijayakumar, Christopher G. Atkeson:
Local Dimensionality Reduction. 633-639 - Bernhard Schölkopf, Patrice Y. Simard, Alexander J. Smola, Vladimir Vapnik:
Prior Knowledge in Support Vector Kernels. 640-646 - Nicholas D. Socci, Daniel D. Lee, H. Sebastian Seung:
The Rectified Gaussian Distribution. 350-356 - H. Sebastian Seung:
Learning Continuous Attractors in Recurrent Networks. 654-660 - H. Sebastian Seung, Tom J. Richardson, J. C. Lagarias, John J. Hopfield:
Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks. 329-335 - Jong-Hoon Oh, H. Sebastian Seung:
Learning Generative Models with the Up-Propagation Algorithm. 605-611 - John Shawe-Taylor, Nello Cristianini:
Data-Dependent Structural Risk Minimization for Perceptron Decision Trees. 336-342 - Bertram Emil Shi, Kwok Fai Hui:
An Analog VLSI Neural Network for Phase-based Machine Vision. 726-732 - Joseph Sill:
Monotonic Networks. 661-667 - Satinder Singh, David Cohn:
How to Dynamically Merge Markov Decision Processes. 1057-1063 - Alexander J. Smola, Bernhard Schölkopf:
From Regularization Operators to Support Vector Kernels. 343-349 - Padhraic Smyth, David H. Wolpert:
Stacked Density Estimation. 668-674 - Peter Sollich, David Barber:
On-line Learning from Finite Training Sets in Nonlinear Networks. 357-363 - Friedrich T. Sommer, Günther Palm:
Bidirectional Retrieval from Associative Memory. 675-681 - Xubo B. Song, Yaser S. Abu-Mostafa, Joseph Sill, Harvey Kasdan:
Incorporating Contextual Information in White Blood Cell Identification. 950-956 - Randall R. Spangler, Rodney M. Goodman, Jim Hawkins:
Bach in a Box - Real-Time Harmony. 957-963 - Peter Sykacek, Georg Dorffner, Peter Rappelsberger, Josef Zeitlhofer:
Experiences with Bayesian Learning in a Real World Application. 964-970 - Csaba Szepesvári:
The Asymptotic Convergence-Rate of Q-learning. 1064-1070 - Joshua B. Tenenbaum:
Mapping a Manifold of Perceptual Observations. 682-688 - Kari Torkkola:
Blind Separation of Radio Signals in Fading Channels. 756-762 - Volker Tresp, Thomas Briegel:
A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction. 971-977 - Nuno Vasconcelos, Andrew Lippman:
Multiresolution Tangent Distance for Affine-invariant Classification. 843-849 - Herman Verrelst, Yves Moreau, Joos Vandewalle, Dirk Timmerman:
Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors. 978-984 - Ricardo Vigário, Veikko Jousmäki, Matti Hämäläinen, Riitta Hari, Erkki Oja:
Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings. 229-235 - William E. Vinje, Jack L. Gallant:
Modeling Complex Cells in an Awake Macaque during Natural Image Viewing. 236-242 - Volodya Vovk:
Competitive On-line Linear Regression. 364-370 - Van H. Vu:
On the Infeasibility of Training Neural Networks with Small Squared Errors. 371-377 - Manfred K. Warmuth:
Relative Loss Bounds, the Minimum Relative Entropy Principle, and EM. NIPS 1997 - Yair Weiss:
Phase Transitions and the Perceptual Organization of Video Sequences. 850-856 - Paul Rodríguez, Janet Wiles:
Recurrent Neural Networks Can Learn to Implement Symbol-Sensitive Counting. 87-93 - Daniel Willett, Gerhard Rigoll:
Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction. 763-769 - Peter M. Williams:
Modelling Seasonality and Trends in Daily Rainfall Data. 985-991 - Satoshi Yamada, Akira Watanabe, Michio Nakashima:
Hybrid Reinforcement Learning and Its Application to Biped Robot Control. 1071-1077 - Howard Hua Yang, Shun-ichi Amari:
The Efficiency and the Robustness of Natural Gradient Descent Learning Rule. 385-391 - Howard Hua Yang:
Multiplicative Updating Rule for Blind Separation Derived from the Method of Scoring. 696-702
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