Advances in Neural Information Processing Systems 16

NIPS 2003

Edited by S. Thrun and L. Saul and B. Schölkopf

198 papers

Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels Ryan C. Kelly, Tai Sing Lee
Linear Response for Approximate Inference Max Welling, Yee W. Teh
Wormholes Improve Contrastive Divergence Max Welling, Andriy Mnih, Geoffrey E. Hinton
Probability Estimates for Multi-Class Classification by Pairwise Coupling Ting-fan Wu, Chih-jen Lin, Ruby C. Weng
Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons Thomas Natschläger, Wolfgang Maass
Mutual Boosting for Contextual Inference Michael Fink, Pietro Perona
On the Dynamics of Boosting Cynthia Rudin, Ingrid Daubechies, Robert E. Schapire
Distributed Optimization in Adaptive Networks Ciamac C. Moallemi, Benjamin V. Roy
Statistical Debugging of Sampled Programs Alice X. Zheng, Michael I. Jordan, Ben Liblit, Alex Aiken
A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications Pedro J. Moreno, Purdy P. Ho, Nuno Vasconcelos
A Model for Learning the Semantics of Pictures Victor Lavrenko, R. Manmatha, Jiwoon Jeon
The Diffusion-Limited Biochemical Signal-Relay Channel Peter J. Thomas, Donald J. Spencer, Sierra K. Hampton, Peter Park, Joseph P. Zurkus
Margin Maximizing Loss Functions Saharon Rosset, Ji Zhu, Trevor J. Hastie
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models Radford M. Neal, Matthew J. Beal, Sam T. Roweis
Self-calibrating Probability Forecasting Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov
Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses Adria Bofill-i-petit, Alan F. Murray
Semi-supervised Protein Classification Using Cluster Kernels Jason Weston, Dengyong Zhou, André Elisseeff, William S. Noble, Christina S. Leslie
When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? David Donoho, Victoria Stodden
A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning Maneesh Sahani
Online Classification on a Budget Koby Crammer, Jaz Kandola, Yoram Singer
Pairwise Clustering and Graphical Models Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss
Link Prediction in Relational Data Ben Taskar, Ming-fai Wong, Pieter Abbeel, Daphne Koller
Human and Ideal Observers for Detecting Image Curves Fang Fang, Daniel Kersten, Paul R. Schrater, Alan L. Yuille
Linear Program Approximations for Factored Continuous-State Markov Decision Processes Milos Hauskrecht, Branislav Kveton
Perception of the Structure of the Physical World Using Unknown Multimodal Sensors and Effectors D. Philipona, J.k. O'regan, J.-p. Nadal, Olivier Coenen
Log-Linear Models for Label Ranking Ofer Dekel, Yoram Singer, Christopher D. Manning
Learning the k in k-means Greg Hamerly, Charles Elkan
Learning a Rare Event Detection Cascade by Direct Feature Selection Jianxin Wu, James M. Rehg, Matthew D. Mullin
Non-linear CCA and PCA by Alignment of Local Models Jakob J. Verbeek, Sam T. Roweis, Nikos Vlassis
Unsupervised Context Sensitive Language Acquisition from a Large Corpus Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman
Modeling User Rating Profiles For Collaborative Filtering Benjamin M. Marlin
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System Marc Toussaint
Bias-Corrected Bootstrap and Model Uncertainty Harald Steck, Tommi S. Jaakkola
Nonlinear Processing in LGN Neurons Vincent Bonin, Valerio Mante, Matteo Carandini
Ranking on Data Manifolds Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf
Approximate Analytical Bootstrap Averages for Support Vector Classifiers Dörthe Malzahn, Manfred Opper
An Infinity-sample Theory for Multi-category Large Margin Classification Tong Zhang
A Neuromorphic Multi-chip Model of a Disparity Selective Complex Cell Bertram E. Shi, Eric K. Tsang
Robustness in Markov Decision Problems with Uncertain Transition Matrices Arnab Nilim, Laurent El Ghaoui
Parameterized Novelty Detectors for Environmental Sensor Monitoring Cynthia Archer, Todd K. Leen, António M. Baptista
Sensory Modality Segregation Virginia Sa
Nonstationary Covariance Functions for Gaussian Process Regression Christopher J. Paciorek, Mark J. Schervish
Algorithms for Interdependent Security Games Michael Kearns, Luis E. Ortiz
How to Combine Expert (and Novice) Advice when Actions Impact the Environment? Daniela Pucci de Farias, Nimrod Megiddo
Reasoning about Time and Knowledge in Neural Symbolic Learning Systems Artur Garcez, Luis C. Lamb
Policy Search by Dynamic Programming J. A. Bagnell, Sham M. Kakade, Jeff G. Schneider, Andrew Y. Ng
A Holistic Approach to Compositional Semantics: a connectionist model and robot experiments Yuuya Sugita, Jun Tani
Semidefinite Relaxations for Approximate Inference on Graphs with Cycles Michael I. Jordan, Martin J. Wainwright
Discriminating Deformable Shape Classes Salvador Ruiz-correa, Linda G. Shapiro, Marina Meila, Gabriel Berson
Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA David Hoyle, Magnus Rattray
Auction Mechanism Design for Multi-Robot Coordination Curt Bererton, Geoffrey J. Gordon, Sebastian Thrun
Geometric Analysis of Constrained Curves Anuj Srivastava, Washington Mio, Xiuwen Liu, Eric Klassen
A Low-Power Analog VLSI Visual Collision Detector Reid R. Harrison
An Improved Scheme for Detection and Labelling in Johansson Displays Claudio Fanti, Marzia Polito, Pietro Perona
1-norm Support Vector Machines Ji Zhu, Saharon Rosset, Robert Tibshirani, Trevor J. Hastie
Envelope-based Planning in Relational MDPs Natalia H. Gardiol, Leslie P. Kaelbling
Necessary Intransitive Likelihood-Ratio Classifiers Gang Ji, Jeff A. Bilmes
Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles Mark Girolami, Ata Kabán
Bounded Finite State Controllers Pascal Poupart, Craig Boutilier
Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds Ingo Steinwart
Towards Social Robots: Automatic Evaluation of Human-Robot Interaction by Facial Expression Classification G.C. Littlewort, M.S. Bartlett, I.R. Fasel, J. Chenu, T. Kanda, H. Ishiguro, J.R. Movellan
Entrainment of Silicon Central Pattern Generators for Legged Locomotory Control Francesco Tenore, Ralph Etienne-Cummings, M. A. Lewis
Fast Embedding of Sparse Similarity Graphs John C. Platt
Online Passive-Aggressive Algorithms Shai Shalev-shwartz, Koby Crammer, Ofer Dekel, Yoram Singer
Training a Quantum Neural Network Bob Ricks, Dan Ventura
Perspectives on Sparse Bayesian Learning Jason Palmer, Bhaskar D. Rao, David P. Wipf
One Microphone Blind Dereverberation Based on Quasi-periodicity of Speech Signals Tomohiro Nakatani, Masato Miyoshi, Keisuke Kinoshita
Multiple Instance Learning via Disjunctive Programming Boosting Stuart Andrews, Thomas Hofmann
An Autonomous Robotic System for Mapping Abandoned Mines David Ferguson, Aaron Morris, Dirk Hähnel, Christopher Baker, Zachary Omohundro, Carlos Reverte, Scott Thayer, Charles Whittaker, William Whittaker, Wolfram Burgard, Sebastian Thrun
Model Uncertainty in Classical Conditioning Aaron C. Courville, Geoffrey J. Gordon, David S. Touretzky, Nathaniel D. Daw
Local Phase Coherence and the Perception of Blur Zhou Wang, Eero P. Simoncelli
New Algorithms for Efficient High Dimensional Non-parametric Classification Ting liu, Andrew W. Moore, Alexander Gray
Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates Peter L. Bartlett, Michael I. Jordan, Jon D. Mcauliffe
Design of Experiments via Information Theory Liam Paninski
Minimax Embeddings Matthew Brand
Efficient and Robust Feature Extraction by Maximum Margin Criterion Haifeng Li, Tao Jiang, Keshu Zhang
Training fMRI Classifiers to Detect Cognitive States across Multiple Human Subjects Xuerui Wang, Rebecca Hutchinson, Tom M. Mitchell
Applying Metric-Trees to Belief-Point POMDPs Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression Roland Vollgraf, Michael Scholz, Ian A. Meinertzhagen, Klaus Obermayer
Application of SVMs for Colour Classification and Collision Detection with AIBO Robots Michael J. Quinlan, Stephan K. Chalup, Richard H. Middleton
Warped Gaussian Processes Edward Snelson, Zoubin Ghahramani, Carl E. Rasmussen
Online Learning via Global Feedback for Phrase Recognition Xavier Carreras, Lluís Màrquez
Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian Eiji Mizutani, James Demmel
AUC Optimization vs. Error Rate Minimization Corinna Cortes, Mehryar Mohri
Semi-Supervised Learning with Trees Charles Kemp, Thomas L. Griffiths, Sean Stromsten, Joshua B. Tenenbaum
Finding the M Most Probable Configurations using Loopy Belief Propagation Chen Yanover, Yair Weiss
A Nonlinear Predictive State Representation Matthew R. Rudary, Satinder P. Singh
A Recurrent Model of Orientation Maps with Simple and Complex Cells Paul Merolla, Kwabena A. Boahen
Predicting Speech Intelligibility from a Population of Neurons Jeff Bondy, Ian Bruce, Suzanna Becker, Simon Haykin
Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction at Different Time Scales Saori C. Tanaka, Kenji Doya, Go Okada, Kazutaka Ueda, Yasumasa Okamoto, Shigeto Yamawaki
Measure Based Regularization Olivier Bousquet, Olivier Chapelle, Matthias Hein
Geometric Clustering Using the Information Bottleneck Method Susanne Still, William Bialek, Léon Bottou
Sample Propagation Mark A. Paskin
Gaussian Processes in Reinforcement Learning Malte Kuss, Carl E. Rasmussen
The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity Yuval Aviel, David Horn, Moshe Abeles
Hierarchical Topic Models and the Nested Chinese Restaurant Process Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum, David M. Blei
A Sampled Texture Prior for Image Super-Resolution Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman
Analytical Solution of Spike-timing Dependent Plasticity Based on Synaptic Biophysics Bernd Porr, Ausra Saudargiene, Florentin Wörgötter
Sparse Greedy Minimax Probability Machine Classification Thomas R. Strohmann, Andrei Belitski, Gregory Z. Grudic, Dennis DeCoste
Approximate Policy Iteration with a Policy Language Bias Alan Fern, Sungwook Yoon, Robert Givan
Information Bottleneck for Gaussian Variables Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss
Laplace Propagation Eleazar Eskin, Alex J. Smola, S.v.n. Vishwanathan
Error Bounds for Transductive Learning via Compression and Clustering Philip Derbeko, Ran El-Yaniv, Ron Meir
Approximate Expectation Maximization Tom Heskes, Onno Zoeter, Wim Wiegerinck
A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters Daniel B. Neill, Andrew W. Moore
Computing Gaussian Mixture Models with EM Using Equivalence Constraints Noam Shental, Aharon Bar-hillel, Tomer Hertz, Daphna Weinshall
Convex Methods for Transduction Tijl D. Bie, Nello Cristianini
Kernel Dimensionality Reduction for Supervised Learning Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
Learning with Local and Global Consistency Dengyong Zhou, Olivier Bousquet, Thomas N. Lal, Jason Weston, Bernhard Schölkopf
Max-Margin Markov Networks Ben Taskar, Carlos Guestrin, Daphne Koller
Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence Amit Gruber, Yair Weiss
Sequential Bayesian Kernel Regression Jaco Vermaak, Simon J. Godsill, Arnaud Doucet
PAC-Bayesian Generic Chaining Jean-yves Audibert, Olivier Bousquet
Ambiguous Model Learning Made Unambiguous with 1/f Priors Gurinder S. Atwal, William Bialek
Generalised Propagation for Fast Fourier Transforms with Partial or Missing Data Amos J. Storkey
Can We Learn to Beat the Best Stock Allan Borodin, Ran El-Yaniv, Vincent Gogan
An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science Woojae Kim, Daniel J. Navarro, Mark A. Pitt, In J. Myung
Dynamical Modeling with Kernels for Nonlinear Time Series Prediction Liva Ralaivola, Florence d'Alché-Buc
Learning Non-Rigid 3D Shape from 2D Motion Lorenzo Torresani, Aaron Hertzmann, Christoph Bregler
Discriminative Fields for Modeling Spatial Dependencies in Natural Images Sanjiv Kumar, Martial Hebert
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon M. Kleinberg
A Probabilistic Model of Auditory Space Representation in the Barn Owl Brian J. Fischer, Charles H. Anderson
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data Neil D. Lawrence
Tree-structured Approximations by Expectation Propagation Yuan Qi, Tom Minka
Boosting versus Covering Kohei Hatano, Manfred K. Warmuth
Learning Near-Pareto-Optimal Conventions in Polynomial Time Xiaofeng Wang, Tuomas Sandholm
Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes Kevin P. Murphy, Antonio Torralba, William T. Freeman
Approximability of Probability Distributions Alina Beygelzimer, Irina Rish
Gene Expression Clustering with Functional Mixture Models Darya Chudova, Christopher Hart, Eric Mjolsness, Padhraic Smyth
Large Scale Online Learning Léon Bottou, Yann L. Cun
Plasticity Kernels and Temporal Statistics Peter Dayan, Michael Häusser, Michael London
Phonetic Speaker Recognition with Support Vector Machines William M. Campbell, Joseph P. Campbell, Douglas A. Reynolds, Douglas A. Jones, Timothy R. Leek
Information Maximization in Noisy Channels : A Variational Approach David Barber, Felix V. Agakov
Variational Linear Response Manfred Opper, Ole Winther
Circuit Optimization Predicts Dynamic Networks for Chemosensory Orientation in Nematode C. elegans Nathan A. Dunn, John S. Conery, Shawn R. Lockery
Learning to Find Pre-Images Jason Weston, Bernhard Schölkopf, Gökhan H. Bakir
Sparse Representation and Its Applications in Blind Source Separation Yuanqing Li, Shun-ichi Amari, Sergei Shishkin, Jianting Cao, Fanji Gu, Andrzej S. Cichocki
Probabilistic Inference in Human Sensorimotor Processing Konrad P. Körding, Daniel M. Wolpert
From Algorithmic to Subjective Randomness Thomas L. Griffiths, Joshua B. Tenenbaum
Eye Micro-movements Improve Stimulus Detection Beyond the Nyquist Limit in the Peripheral Retina Matthias H. Hennig, Florentin Wörgötter
Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron? Yoichi Miyawaki, Masato Okada
Efficient Multiscale Sampling from Products of Gaussian Mixtures Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky
Markov Models for Automated ECG Interval Analysis Nicholas P. Hughes, Lionel Tarassenko, Stephen J. Roberts
A Mixed-Signal VLSI for Real-Time Generation of Edge-Based Image Vectors Masakazu Yagi, Hideo Yamasaki, Tadashi Shibata
Autonomous Helicopter Flight via Reinforcement Learning H. J. Kim, Michael I. Jordan, Shankar Sastry, Andrew Y. Ng
Insights from Machine Learning Applied to Human Visual Classification Felix A. Wichmann, Arnulf B. Graf
Classification with Hybrid Generative/Discriminative Models Rajat Raina, Yirong Shen, Andrew McCallum, Andrew Y. Ng
Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms Claudio Gentile
Feature Selection in Clustering Problems Volker Roth, Tilman Lange
Optimal Manifold Representation of Data: An Information Theoretic Approach Denis V. Chigirev, William Bialek
Invariant Pattern Recognition by Semi-Definite Programming Machines Thore Graepel, Ralf Herbrich
Impact of an Energy Normalization Transform on the Performance of the LF-ASD Brain Computer Interface Yu Zhou, Steven G. Mason, Gary E. Birch
Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron Sung C. Jun, Barak A. Pearlmutter
Image Reconstruction by Linear Programming Koji Tsuda, Gunnar Rätsch
Extreme Components Analysis Max Welling, Christopher Williams, Felix V. Agakov
Bayesian Color Constancy with Non-Gaussian Models Charles Rosenberg, Alok Ladsariya, Tom Minka
All learning is Local: Multi-agent Learning in Global Reward Games Yu-han Chang, Tracey Ho, Leslie P. Kaelbling
Automatic Annotation of Everyday Movements Deva Ramanan, David A. Forsyth
A Classification-based Cocktail-party Processor Nicoleta Roman, Deliang Wang, Guy J. Brown
Linear Dependent Dimensionality Reduction Nathan Srebro, Tommi S. Jaakkola
Clustering with the Connectivity Kernel Bernd Fischer, Volker Roth, Joachim M. Buhmann
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation Leonid Sigal, Michael Isard, Benjamin H. Sigelman, Michael J. Black
Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering Yoshua Bengio, Jean-françcois Paiement, Pascal Vincent, Olivier Delalleau, Nicolas L. Roux, Marie Ouimet
Learning Spectral Clustering Francis R. Bach, Michael I. Jordan
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model Liam Paninski, Eero P. Simoncelli, Jonathan W. Pillow
Prediction on Spike Data Using Kernel Algorithms Jan Eichhorn, Andreas Tolias, Alexander Zien, Malte Kuss, Jason Weston, Nikos Logothetis, Bernhard Schölkopf, Carl E. Rasmussen
An MDP-Based Approach to Online Mechanism Design David C. Parkes, Satinder P. Singh
Probabilistic Inference of Speech Signals from Phaseless Spectrograms Kannan Achan, Sam T. Roweis, Brendan J. Frey
Denoising and Untangling Graphs Using Degree Priors Quaid D. Morris, Brendan J. Frey
Learning a Distance Metric from Relative Comparisons Matthew Schultz, Thorsten Joachims
Locality Preserving Projections Xiaofei He, Partha Niyogi
Unsupervised Color Decomposition Of Histologically Stained Tissue Samples Andrew Rabinovich, Sameer Agarwal, Casey Laris, Jeffrey H. Price, Serge J. Belongie
Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons Hsin Chen, Patrice Fleury, Alan F. Murray
Eye Movements for Reward Maximization Nathan Sprague, Dana Ballard
Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter Kazuyuki Samejima, Kenji Doya, Yasumasa Ueda, Minoru Kimura
ICA-based Clustering of Genes from Microarray Expression Data Su-in Lee, Serafim Batzoglou
On the Concentration of Expectation and Approximate Inference in Layered Networks Xuanlong Nguyen, Michael I. Jordan
Identifying Structure across Pre-partitioned Data Zvika Marx, Ido Dagan, Eli Shamir
Eigenvoice Speaker Adaptation via Composite Kernel Principal Component Analysis James T. Kwok, Brian Mak, Simon Ho
A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems Rock Z. Shi, Timothy K. Horiuchi
Extending Q-Learning to General Adaptive Multi-Agent Systems Gerald Tesauro
No Unbiased Estimator of the Variance of K-Fold Cross-Validation Yoshua Bengio, Yves Grandvalet
GPPS: A Gaussian Process Positioning System for Cellular Networks Anton Schwaighofer, Marian Grigoras, Volker Tresp, Clemens Hoffmann
Reconstructing MEG Sources with Unknown Correlations Maneesh Sahani, Srikantan S. Nagarajan
Increase Information Transfer Rates in BCI by CSP Extension to Multi-class Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller
Dopamine Modulation in a Basal Ganglio-Cortical Network of Working Memory Aaron J. Gruber, Peter Dayan, Boris S. Gutkin, Sara A. Solla
Approximate Planning in POMDPs with Macro-Actions Georgios Theocharous, Leslie P. Kaelbling
ARA*: Anytime A* with Provable Bounds on Sub-Optimality Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun
Salient Boundary Detection using Ratio Contour Song Wang, Toshiro Kubota, Jeffrey M. Siskind
Semi-Definite Programming by Perceptron Learning Thore Graepel, Ralf Herbrich, Andriy Kharechko, John S. Shawe-taylor
An Iterative Improvement Procedure for Hierarchical Clustering David Kauchak, Sanjoy Dasgupta
Kernels for Structured Natural Language Data Jun Suzuki, Yutaka Sasaki, Eisaku Maeda
Near-Minimax Optimal Classification with Dyadic Classification Trees Clayton Scott, Robert Nowak
Bounded Invariance and the Formation of Place Fields Reto Wyss, Paul F. Verschure
Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks Justin Werfel, Xiaohui Xie, H. S. Seung
Learning Bounds for a Generalized Family of Bayesian Posterior Distributions Tong Zhang
A Functional Architecture for Motion Pattern Processing in MSTd Scott A. Beardsley, Lucia M. Vaina
Online Learning of Non-stationary Sequences Claire Monteleoni, Tommi S. Jaakkola

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