NIPS 1997:
Denver,
CO,
USA
Michael I. Jordan, Michael J. Kearns, Sara A. Solla (Eds.):
Advances in Neural Information Processing Systems 10, [NIPS Conference, Denver, Colorado, USA, 1997].
The MIT Press 1998, ISBN 0-262-10076-2 BibTeX
@proceedings{DBLP:conf/nips/1997,
editor = {Michael I. Jordan and
Michael J. Kearns and
Sara A. Solla},
title = {Advances in Neural Information Processing Systems 10, [NIPS Conference,
Denver, Colorado, USA, 1997]},
booktitle = {NIPS},
publisher = {The MIT Press},
year = {1998},
isbn = {0-262-10076-2},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
- Christopher G. Atkeson:
Nonparametric Model-Based Reinforcement Learning.
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- Hagai Attias, Christoph E. Schreiner:
Coding of Naturalistic Stimuli by Auditory Midbrain Neurons.
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- Bill Baird:
Synchronized Auditory and Cognitive 40 Hz Attentional Streams, and the Impact of Rhythmic Expectation on Auditory Scene Analysis.
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- Shumeet Baluja:
Using Expectation to Guide Processing: A Study of Three Real-World Applications.
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- David Barber, Christopher M. Bishop:
Ensemble Learning for Multi-Layer Networks.
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- David Barber, Bernhard Schottky:
Radial Basis Functions: A Bayesian Treatment.
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- Mostefa Golea, Peter L. Bartlett, Wee Sun Lee, Llew Mason:
Generalization in Decision Trees and DNF: Does Size Matter?
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- Jonathan Baxter, Peter L. Bartlett:
The Canonical Distortion Measure in Feature Space and 1-NN Classification.
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- Holger Schwenk, Yoshua Bengio:
Training Methods for Adaptive Boosting of Neural Networks.
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- Yoshua Bengio, Samy Bengio, Jean-Franc Isabelle, Yoram Singer:
Shared Context Probabilistic Transducers.
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- Michael J. Berry II, Markus Meister:
Refractoriness and Neural Precision.
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- Christopher M. Bishop, Neil D. Lawrence, Tommi Jaakkola, Michael I. Jordan:
Approximating Posterior Distributions in Belief Networks Using Mixtures.
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- Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper:
Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules.
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- Vasken Bohossian, Jehoshua Bruck:
Multiple Threshold Neural Logic.
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- Matthias Burger, Thore Graepel, Klaus Obermayer:
An Annealed Self-Organizing Map for Source Channel Coding.
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- Zehra Cataltepe, Malik Magdon-Ismail:
Incorporating Test Inputs into Learning.
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- Steve A. Chien, Andre Stechert, Darren Mutz:
On Efficient Heuristic Ranking of Hypotheses.
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- William W. Cohen, Robert E. Schapire, Yoram Singer:
Learning to Order Things.
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- Matthew N. Dailey, Garrison W. Cottrell:
Task and Spatial Frequency Effects on Face Specialization.
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- Peter Dayan, Theresa Long:
Statistical Models of Conditioning.
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- Jeremy S. De Bonet, Paul A. Viola:
Structure Driven Image Database Retrieval.
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- Jeremy S. De Bonet, Paul A. Viola:
A Non-Parametric Multi-Scale Statistical Model for Natural Images.
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- R. Christopher DeCharms, Michael Merzenich:
Characterizing Neurons in the Primary Auditory Cortex of the Awake Primate Using Reverse Correlation.
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- Virginia R. de Sa, R. Christopher DeCharms, Michael Merzenich:
Using Helmholtz Machines to Analyze Multi-channel Neuronal Recordings.
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- Ernst R. Dow, Thomas J. Anastasio:
Instabilities in Eye Movement Control: A Model of Periodic Alternating Nystagmus.
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- Ran El-Yaniv, Shai Fine, Naftali Tishby:
Agnostic Classification of Markovian Sequences.
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- Ralph Etienne-Cummings, Donghui Cai:
A General Purpose Image Processing Chip: Orientation Detection.
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- Raphaël Feraud, Olivier Bernier:
Ensemble and Modular Approaches for Face Detection: A Comparison.
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- David J. Foster, Richard G. M. Morris, Peter Dayan:
Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning.
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- William T. Freeman, Paul A. Viola:
Bayesian Model of Surface Perception.
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- João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee:
Regularisation in Sequential Learning Algorithms.
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- Brendan J. Frey, David J. C. MacKay:
A Revolution: Belief Propagation in Graphs with Cycles.
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- David Andre, Nir Friedman, Ronald Parr:
Generalized Prioritized Sweeping.
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- Davi Geiger, Archisman Rudra, Laurance T. Maloney:
Features as Sufficient Statistics.
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- Zoubin Ghahramani, Geoffrey E. Hinton:
Hierarchical Non-linear Factor Analysis and Topographic Maps.
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- Paul W. Goldberg, Christopher K. I. Williams, Christopher M. Bishop:
Regression with Input-dependent Noise: A Gaussian Process Treatment.
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- Geoffrey J. Goodhill:
A Mathematical Model of Axon Guidance by Diffusible Factors.
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- Geoffrey J. Goodhill:
Gradients for Retinotectal Mapping.
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- Alexander Grunewald, Heiko Neumann:
Detection of First and Second Order Motion.
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- Lucy E. Hadden:
A Neural Network Model of Naive Preference and Filial Imprinting in the Domestic Chick.
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- Richard C. Wilson, Edwin R. Hancock:
Graph Matching with Hierarchical Discrete Relaxation.
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- Andrew D. J. Cross, Edwin R. Hancock:
Recovering Perspective Pose with a Dual Step EM Algorithm.
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- Eric A. Hansen:
An Improved Policy Iteration Algorithm for Partially Observable MDPs.
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- Reid R. Harrison, Christof Koch:
An Analog VLSI Model of the Fly Elementary Motion Detector.
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- Trevor Hastie, Robert Tibshirani:
Classification by Pairwise Coupling.
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- Marcus Held, Joachim M. Buhmann:
Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis.
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- Rolf D. Henkel:
A Simple and Fast Neural Network Approach to Stereovision.
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- Tom Heskes:
Selecting Weighting Factors in Logarithmic Opinion Pools.
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- Yuzo Hirai:
A 1, 000-Neuron System with One Million 7-bit Physical Interconnections.
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- Dominik Hörnel:
MELONET I: Neural Nets for Inventing Baroque-Style Chorale Variations.
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- Reimar Hofmann, Volker Tresp:
Nonlinear Markov Networks for Continuous Variables.
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- Thomas Hofmann, Joachim M. Buhmann:
Active Data Clustering.
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- John J. Hopfield, Carlos D. Brody, Sam T. Roweis:
Computing with Action Potentials.
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- Nir Levy, David Horn, Eytan Ruppin:
Multi-modular Associative Memory.
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- John F. Houde, Michael I. Jordan:
Adaptation in Speech Motor Control.
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- Don R. Hush, Fernando Lozano, Bill G. Horne:
Function Approximation with the Sweeping Hinge Algorithm.
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- Aapo Hyvärinen:
New Approximations of Differential Entropy for Independent Component Analysis and Projection Pursuit.
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- Laurent Itti, Jochen Braun, Dale K. Lee, Christof Koch:
A Model of Early Visual Processing.
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- Markus Schenkel, Cyril Latimer, Marwan A. Jabri:
Comparison of Human and Machine Word Recognition.
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- Gareth James, Trevor Hastie:
The Error Coding and Substitution PaCTs.
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- Sheng Ma, Chuanyi Ji:
Wavelet Models for Video Time-Series.
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- 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.
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- Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz:
Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction.
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- John Kauer:
Odor Encoding by the Olfactory System - from Biology to a Receptorless Artificial Nose.
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- Kimmo Kiviluoto, Erkki Oja:
S-Map: A Network with a Simple Self-Organization Algorithm for Generative Topographic Mappings.
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- Jyrki Kivinen, Manfred K. Warmuth:
Relative Loss Bounds for Multidimensional Regression Problems.
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- Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik:
Analysis of Drifting Dynamics with Neural Network Hidden Markov Models.
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- Petri Koistinen:
Asymptotic Theory for Regularization: One-Dimensional Linear Case.
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- Mark Kvale, Christoph E. Schreiner:
Perturbative M-Sequences for Auditory Systems Identification.
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- Thomas K. Landauer, Darrell Laham, Peter W. Foltz:
Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report.
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- 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.
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- Daniel D. Lee, H. Sebastian Seung:
A Neural Network Based Head Tracking System.
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- Todd K. Leen, Bernhard Schottky, David Saad:
Two Approaches to Optimal Annealing.
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- Michael S. Lewicki, Bruno A. Olshausen:
Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework.
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- Michael S. Lewicki, Terrence J. Sejnowski:
Learning Nonlinear Overcomplete Representations for Efficient Coding.
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- M. Anthony Lewis:
Visual Navigation in a Robot Using Zig-Zag Behavior.
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- Juan K. Lin:
Factorizing Multivariate Function Classes.
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- Richard J. Lipton:
DNA2DNA Computation: A Potential Killer Application?
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- Shih-Chii Liu:
Silicon Retina with Adaptive Filtering Properties.
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- Zili Liu, Daniel Kersten:
2D Observers for Human 3D Object Recognition?
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- Erik D. Lumer:
Effects of Spike Timing Underlying Binocular Integration and Rivalry in a Neural Model of Early Visual Cortex.
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- Wolfgang Maass, Anthony M. Zador:
Dynamic Stochastic Synapses as Computational Units.
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- Amit Manwani, Christof Koch:
Synaptic Transmission: An Information-Theoretic Perspective.
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- Peter Marbach, Oliver Mihatsch, Miriam Schulte, John N. Tsitsiklis:
Reinforcement Learning for Call Admission Control and Routing in Integrated Service Networks.
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- Oded Maron, Tomás Lozano-Pérez:
A Framework for Multiple-Instance Learning.
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- Alan D. Marrs:
An Application of Reversible-Jump MCMC to Multivariate Spherical Gaussian Mixtures.
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- Marina Meila, Michael I. Jordan:
Estimating Dependency Structure as a Hidden Variable.
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- Ron Meir:
Structural Risk Minimization for Nonparametric Time Series Prediction.
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- 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.
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- Christopher J. Merz:
Combining Classifiers Using Correspondence Analysis.
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- Jake Ryan, Meng-Jang Lin, Risto Miikkulainen:
Intrusion Detection with Neural Networks.
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- Jeanne C. Milostan, Garrison W. Cottrell:
Serial Order in Reading Aloud: Connectionist Models and Neighborhood Structure.
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- Paul Mineiro, Javier R. Movellan, Ruth J. Williams:
Learning Path Distributions Using Nonequilibrium Diffusion Networks.
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- Jeffrey F. Monaco, David G. Ward, Andrew G. Barto:
Automated Aircraft Recovery via Reinforcement Learning: Initial Experiments.
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- J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla E. Brodley, David Scheeff:
Learning to Schedule Straight-Line Code.
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- Javier R. Movellan, Paul Mineiro:
Bayesian Robustification for Audio Visual Fusion.
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- Michael Mozer, Mark Sitton, Martha J. Farah:
A Superadditive-Impairment Theory of Optic Aphasia.
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- Rémi Munos, Paul Bourgine:
Reinforcement Learning for Continuous Stochastic Control Problems.
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- Ken Nakayama:
Psychological Studies of Visual Perception.
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- Hans-Georg Zimmermann, Ralph Neuneier:
The Observer-Observation Dilemma in Neuro-Forecasting.
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- Ralph Neuneier:
Enhancing Q-Learning for Optimal Asset Allocation.
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- Randall C. O'Reilly, Kenneth A. Norman, James L. McClelland:
A Hippocampal Model of Recognition Memory.
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- Yuansheng Xiong, Chulan Kwon, Jong-Hoon Oh:
The Storage Capacity of a Fully-Connected Committee Machine.
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- Stephan Pareigis:
Adaptive Choice of Grid and Time in Reinforcement Learning.
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- Antonio Turiel, Germán Mato, Néstor Parga, Jean-Pierre Nadal:
Self-similarity Properties of Natural Images.
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- Ronald Parr, Stuart J. Russell:
Reinforcement Learning with Hierarchies of Machines.
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- Girish N. Patel, Jeremy H. Holleman, Stephen P. DeWeerth:
Analog VLSI Model of Intersegmental Coordination with Nearest-Neighbor Coupling.
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- Sophie Deneve, Alexandre Pouget:
Neural Basis of Object-Centered Representations.
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- Doina Precup, Richard S. Sutton:
Multi-time Models for Temporally Abstract Planning.
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- Avner Priel, Ido Kanter, David A. Kessler:
Analytical Study of the Interplay between Architecture and Predictability.
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- Rajesh P. N. Rao:
Correlates of Attention in a Model of Dynamic Visual Recognition.
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- Joel Ratsaby:
An Incremental Nearest Neighbor Algorithm with Queries.
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- Magnus Rattray, David Saad:
Globally Optimal On-line Learning Rules.
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- Maximilian Riesenhuber, Tomaso Poggio:
Just One View: Invariances in Inferotemporal Cell Tuning.
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- Mark Ring:
RCC Cannot Compute Certain FSA, Even with Arbitrary Transfer Functions.
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- Adam J. Grove, Dan Roth:
Linear Concepts and Hidden Variables: An Empirical Study.
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- Sam T. Roweis:
EM Algorithms for PCA and SPCA.
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- Eyal Cohen, Eytan Ruppin:
On Parallel versus Serial Processing: A Computational Study of Visual Search.
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- Stuart J. Russell:
Learning in Rational Agents.
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- Maneesh Sahani, John S. Pezaris, Richard A. Andersen:
On the Separation of Signals from Neighboring Cells in Tetrode Recordings.
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- Lawrence K. Saul, Mazin G. Rahim:
Modeling Acoustic Correlations by Factor Analysis.
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- Stefan Schaal, Sethu Vijayakumar, Christopher G. Atkeson:
Local Dimensionality Reduction.
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- Bernhard Schölkopf, Patrice Simard, Alex J. Smola, Vladimir Vapnik:
Prior Knowledge in Support Vector Kernels.
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- Nicholas D. Socci, Daniel D. Lee, H. Sebastian Seung:
The Rectified Gaussian Distribution.
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- H. Sebastian Seung:
Learning Continuous Attractors in Recurrent Networks.
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- H. Sebastian Seung, Tom J. Richardson, J. C. Lagarias, John J. Hopfield:
Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks.
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- Jong-Hoon Oh, H. Sebastian Seung:
Learning Generative Models with the Up-Propagation Algorithm.
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- John Shawe-Taylor, Nello Cristianini:
Data-Dependent Structural Risk Minimization for Perceptron Decision Trees.
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- Bertram Emil Shi, Kwok Fai Hui:
An Analog VLSI Neural Network for Phase-based Machine Vision.
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- Joseph Sill:
Monotonic Networks.
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- Satinder P. Singh, David Cohn:
How to Dynamically Merge Markov Decision Processes.
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- Alex J. Smola, Bernhard Schölkopf:
From Regularization Operators to Support Vector Kernels.
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- Padhraic Smyth, David Wolpert:
Stacked Density Estimation.
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- Peter Sollich, David Barber:
On-line Learning from Finite Training Sets in Nonlinear Networks.
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- Friedrich T. Sommer, Günther Palm:
Bidirectional Retrieval from Associative Memory.
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- Xubo B. Song, Yaser S. Abu-Mostafa, Joseph Sill, Harvey Kasdan:
Incorporating Contextual Information in White Blood Cell Identification.
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- Randall R. Spangler, Rodney M. Goodman, Jim Hawkins:
Bach in a Box - Real-Time Harmony.
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- Peter Sykacek, Georg Dorffner, Peter Rappelsberger, Josef Zeitlhofer:
Experiences with Bayesian Learning in a Real World Application.
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- Csaba Szepesvári:
The Asymptotic Convergence-Rate of Q-learning.
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- Joshua B. Tenenbaum:
Mapping a Manifold of Perceptual Observations.
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- Kari Torkkola:
Blind Separation of Radio Signals in Fading Channels.
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- Volker Tresp, Thomas Briegel:
A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction.
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- Nuno Vasconcelos, Andrew Lippman:
Multiresolution Tangent Distance for Affine-invariant Classification.
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- Herman Verrelst, Yves Moreau, Joos Vandewalle, Dirk Timmerman:
Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors.
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- Ricardo Vigário, Veikko Jousmäki, Matti Hämäläinen, Riitta Hari, Erkki Oja:
Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings.
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- William E. Vinje, Jack L. Gallant:
Modeling Complex Cells in an Awake Macaque during Natural Image Viewing.
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- Volodya Vovk:
Competitive On-line Linear Regression.
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- Van H. Vu:
On the Infeasibility of Training Neural Networks with Small Squared Errors.
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- Manfred K. Warmuth:
Relative Loss Bounds, the Minimum Relative Entropy Principle, and EM.
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- Yair Weiss:
Phase Transitions and the Perceptual Organization of Video Sequences.
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- Paul Rodriguez, Janet Wiles:
Recurrent Neural Networks Can Learn to Implement Symbol-Sensitive Counting.
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- Daniel Willett, Gerhard Rigoll:
Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction.
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- Peter M. Williams:
Modelling Seasonality and Trends in Daily Rainfall Data.
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- Satoshi Yamada, Akira Watanabe, Michio Nakashima:
Hybrid Reinforcement Learning and Its Application to Biped Robot Control.
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- Howard Hua Yang, Shun-ichi Amari:
The Efficiency and the Robustness of Natural Gradient Descent Learning Rule.
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- Howard Hua Yang:
Multiplicative Updating Rule for Blind Separation Derived from the Method of Scoring.
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Copyright © Sat May 16 23:31:28 2009
by Michael Ley (ley@uni-trier.de)
