NeurIPS 2003
198 papers
1-Norm Support Vector Machines
Ji Zhu, Saharon Rosset, Robert Tibshirani, Trevor J. Hastie A Sampled Texture Prior for Image Super-Resolution
Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman 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 Applying Metric-Trees to Belief-Point POMDPs
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun Approximate Expectation Maximization
Tom Heskes, Onno Zoeter, Wim Wiegerinck Autonomous Helicopter Flight via Reinforcement Learning
H. J. Kim, Michael I. Jordan, Shankar Sastry, Andrew Y. Ng Boosting Versus Covering
Kohei Hatano, Manfred K. Warmuth Bounded Finite State Controllers
Pascal Poupart, Craig Boutilier Can We Learn to Beat the Best Stock
Allan Borodin, Ran El-Yaniv, Vincent Gogan Clustering with the Connectivity Kernel
Bernd Fischer, Volker Roth, Joachim M. Buhmann Convex Methods for Transduction
Tijl D. Bie, Nello Cristianini Discriminating Deformable Shape Classes
Salvador Ruiz-correa, Linda G. Shapiro, Marina Meila, Gabriel Berson Efficient Multiscale Sampling from Products of Gaussian Mixtures
Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky Extreme Components Analysis
Max Welling, Christopher Williams, Felix V. Agakov From Algorithmic to Subjective Randomness
Thomas L. Griffiths, Joshua B. Tenenbaum Gene Expression Clustering with Functional Mixture Models
Darya Chudova, Christopher Hart, Eric Mjolsness, Padhraic Smyth Geometric Analysis of Constrained Curves
Anuj Srivastava, Washington Mio, Xiuwen Liu, Eric Klassen GPPS: A Gaussian Process Positioning System for Cellular Networks
Anton Schwaighofer, Marian Grigoras, Volker Tresp, Clemens Hoffmann Hierarchical Topic Models and the Nested Chinese Restaurant Process
Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum, David M. Blei Human and Ideal Observers for Detecting Image Curves
Fang Fang, Daniel Kersten, Paul R. Schrater, Alan L. Yuille Information Bottleneck for Gaussian Variables
Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss Laplace Propagation
Eleazar Eskin, Alex J. Smola, S.v.n. Vishwanathan Learning Non-Rigid 3D Shape from 2D Motion
Lorenzo Torresani, Aaron Hertzmann, Christoph Bregler Learning Spectral Clustering
Francis R. Bach, Michael I. Jordan Learning the K in K-Means
Greg Hamerly, Charles Elkan Learning to Find Pre-Images
Jason Weston, Bernhard Schölkopf, Gökhan H. Bakir Learning with Local and Global Consistency
Dengyong Zhou, Olivier Bousquet, Thomas N. Lal, Jason Weston, Bernhard Schölkopf Link Prediction in Relational Data
Ben Taskar, Ming-fai Wong, Pieter Abbeel, Daphne Koller Log-Linear Models for Label Ranking
Ofer Dekel, Yoram Singer, Christopher D. Manning Margin Maximizing Loss Functions
Saharon Rosset, Ji Zhu, Trevor J. Hastie Markov Models for Automated ECG Interval Analysis
Nicholas P. Hughes, Lionel Tarassenko, Stephen J. Roberts Max-Margin Markov Networks
Ben Taskar, Carlos Guestrin, Daphne Koller Measure Based Regularization
Olivier Bousquet, Olivier Chapelle, Matthias Hein Model Uncertainty in Classical Conditioning
Aaron C. Courville, Geoffrey J. Gordon, David S. Touretzky, Nathaniel D. Daw Nonlinear Processing in LGN Neurons
Vincent Bonin, Valerio Mante, Matteo Carandini On the Dynamics of Boosting
Cynthia Rudin, Ingrid Daubechies, Robert E. Schapire Online Classification on a Budget
Koby Crammer, Jaz Kandola, Yoram Singer Online Passive-Aggressive Algorithms
Shai Shalev-shwartz, Koby Crammer, Ofer Dekel, Yoram Singer 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 PAC-Bayesian Generic Chaining
Jean-yves Audibert, Olivier Bousquet Pairwise Clustering and Graphical Models
Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss Perspectives on Sparse Bayesian Learning
Jason Palmer, Bhaskar D. Rao, David P. Wipf Phonetic Speaker Recognition with Support Vector Machines
William M. Campbell, Joseph P. Campbell, Douglas A. Reynolds, Douglas A. Jones, Timothy R. Leek Plasticity Kernels and Temporal Statistics
Peter Dayan, Michael Häusser, Michael London Policy Search by Dynamic Programming
J. A. Bagnell, Sham M. Kakade, Jeff G. Schneider, Andrew Y. Ng Prediction on Spike Data Using Kernel Algorithms
Jan Eichhorn, Andreas Tolias, Alexander Zien, Malte Kuss, Jason Weston, Nikos Logothetis, Bernhard Schölkopf, Carl E. Rasmussen Ranking on Data Manifolds
Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf Salient Boundary Detection Using Ratio Contour
Song Wang, Toshiro Kubota, Jeffrey M. Siskind Self-Calibrating Probability Forecasting
Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov Semi-Definite Programming by Perceptron Learning
Thore Graepel, Ralf Herbrich, Andriy Kharechko, John S. Shawe-taylor Semi-Supervised Learning with Trees
Charles Kemp, Thomas L. Griffiths, Sean Stromsten, Joshua B. Tenenbaum Semi-Supervised Protein Classification Using Cluster Kernels
Jason Weston, Dengyong Zhou, André Elisseeff, William S. Noble, Christina S. Leslie Sequential Bayesian Kernel Regression
Jaco Vermaak, Simon J. Godsill, Arnaud Doucet Sparse Greedy Minimax Probability Machine Classification
Thomas R. Strohmann, Andrei Belitski, Gregory Z. Grudic, Dennis DeCoste Sparse Representation and Its Applications in Blind Source Separation
Yuanqing Li, Shun-ichi Amari, Sergei Shishkin, Jianting Cao, Fanji Gu, Andrzej S. Cichocki Statistical Debugging of Sampled Programs
Alice X. Zheng, Michael I. Jordan, Ben Liblit, Alex Aiken The Diffusion-Limited Biochemical Signal-Relay Channel
Peter J. Thomas, Donald J. Spencer, Sierra K. Hampton, Peter Park, Joseph P. Zurkus Unsupervised Color Decomposition of Histologically Stained Tissue Samples
Andrew Rabinovich, Sameer Agarwal, Casey Laris, Jeffrey H. Price, Serge J. Belongie Variational Linear Response
Manfred Opper, Ole Winther Warped Gaussian Processes
Edward Snelson, Zoubin Ghahramani, Carl E. Rasmussen Wormholes Improve Contrastive Divergence
Max Welling, Andriy Mnih, Geoffrey E. Hinton