AI & Statistics 2003

Proceedings of the Ninth International Workshop
on Artificial Intelligence and Statistics

January 3-6, 2003, Hyatt Hotel, Key West, Florida

Christopher M. Bishop and Brendan J. Frey (editors)

ISBN 0-9727358-0-1

Society for Artificial Intelligence and Statistics



[ Introduction ] [ Papers ] [ Programme ] [ Invited Speakers ] [ Acknowledgments ]


Papers and supplementary web pages (images, videos, etc)

Papers should be cited as "in C. M. Bishop and B. J. Frey (eds), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Jan 3-6, 2003, Key West, FL."

Fast Marginal Likelihood Maximisation for Sparse Bayesian Models.
Michael Tipping, Anita Faul.
postscript (ps), portable document format (pdf).

Combining Conjugate Direction Methods with Stochastic Approximation of Gradients.
Nicol Schraudolph, Thore Graepel.
postscript (ps), portable document format (pdf).

Expectation Maximization of Forward Decoding Kernel Machines.
Shantanu Chakrabartty, Gert Cauwenberghs.
postscript (ps), portable document format (pdf).

Generalized belief propagation for approximate inference in hybrid Bayesian networks.
Tom Heskes, Onno Zoeter.
postscript (ps), portable document format (pdf).

Tree-reweighted belief propagation algorithms and approximate ML estimation by pseudo-moment matching.
Martin Wainwright, Tommmi Jaakkola, Alan Willsky.
postscript (ps), portable document format (pdf).

Model Averaging with Bayesian Network Classifiers.
Denver Dash, Greg Cooper.
postscript (ps), portable document format (pdf).

Fast Forward Selection to Speed Up Sparse Gaussian Process Regression.
Matthias Seeger, Christopher K.I. Williams, Neil D. Lawrence.
postscript (ps), portable document format (pdf).

On Improving the Efficiency of the Iterative Proportional Fitting Procedure.
Yee Whye Teh, Max Welling.
postscript (ps), portable document format (pdf).

Rapid Evaluation of Multiple Density Models.
Alexander Gray, Andrew Moore.
postscript (ps), portable document format (pdf).

A Bayesian Approach to Bergman's Minimal Model.
Kim E. Andersen, Malene Højbjerre.
postscript (ps), portable document format (pdf).

Bayesian Inference in the Presence of Determinism.
David Larkin, Rina Dechter.
postscript (ps), portable document format (pdf).

Convex Invariance Learning.
Tony Jebara.
postscript (ps), portable document format (pdf).

On Boosting and the Exponential Loss.
Abraham Wyner.
postscript (ps), portable document format (pdf).

Solving Markov Random Fields using Semi Definite Programming.
Philip Torr.
postscript (ps), portable document format (pdf).

The Sound of an Album Cover: A Probabilistic Approach to Multimedia.
Eric Brochu, Nando de Freitas, Kejie Bao.
postscript (ps), portable document format (pdf).

A Generalized Linear Model for Principal Component Analysis of Binary Data.
Andrew Schein, Lawrence Saul, Lyle Ungar.
postscript (ps), portable document format (pdf).

Refining Kernels for Regression and Uneven Classification Problems.
Jaz Kandola, John Shawe-Taylor.
postscript (ps), portable document format (pdf).

Data centering in feature space.
Marina Meila.
postscript (ps), portable document format (pdf).

Learning Bayesian Networks From Dependency Networks: A Preliminary Study.
Geoff Hulten, David Maxwell Chickering, David Heckerman.
postscript (ps), portable document format (pdf).

Towards Principled Feature Selection: Relevancy, Filters and Wrappers.
Ioannis Tsamardinos, Constantin Aliferis.
postscript (ps), portable document format (pdf).

The Joint Causal Effect in Linear Structural Equation Model and Its Application to Process Analysis.
Manabu Kuroki, Zhihong Cai.
postscript (ps), portable document format (pdf).

Document Retrieval and Clustering: from Principal Component Analysis to Self-aggregation Networks.
Chris Ding.
postscript (ps), portable document format (pdf).

Structured Variational Distributions in VIBES.
Christopher M. Bishop and John Winn.
postscript (ps), portable document format (pdf).

Reduced Rank Approximations of Transition Matrices.
Juan Lin.
postscript (ps), portable document format (pdf).

Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals.
Iead Rezek, Stephen J. Roberts, Peter Sykacek.
postscript (ps), portable document format (pdf).

Clustering Markov States into Equivalence Classes using SVD and Heuristic Search Algorithms.
Xianping Ge, Sridevi Parise, Padhraic Smyth.
postscript (ps), portable document format (pdf).

Quick Training of Probabilistic Neural Nets by Importance Sampling.
Yoshua Bengio, Jean-Sebastien Senecal.
postscript (ps), portable document format (pdf).

On the Naive Bayes Model for Text Categorization.
Susana Eyheramendy, David Lewis, David Madigan.
postscript (ps), portable document format (pdf).

Bayesian Feature Weighting for Unsupervised Learning, with Application to Object Recognition.
Paul Gustafson, Peter Carbonetto, Natalie Thompson, Nando de Freitas.
postscript (ps), portable document format (pdf).

A Blessing of Dimensionality: Measure Concentration and Probabilistic Inference.
Pinar Muyan, Nando de Freitas.
postscript (ps), portable document format (pdf).

Latent Maximum Entropy Approach for Semantic N-gram Language Modeling.
Shaojun Wang, Dale Schuurmans, Fuchun Peng.
postscript (ps), portable document format (pdf).

An Active Approach to Collaborative Filtering.
Richard Zemel, Craig Boutilier.
postscript (ps), portable document format (pdf).

Efficient Computing of Stochastic Complexity.
Petri Kontkanen, Wray Buntine, Petri Myllymäki, Jorma Rissanen, Henry Tirri.
postscript (ps), portable document format (pdf).

Fast Robust Logistic Regression for Large Sparse Datasets with Binary Outputs.
Paul Komarek, Andrew Moore.
postscript (ps), portable document format (pdf).

Curve Clustering with Random Effects Regression Mixtures.
Scott Gaffney, Padhraic Smyth.
postscript (ps), portable document format (pdf).

Real-time On-line Learning of Transformed Hidden Markov Models from Video.
Nemanja Petrovic, Nebojsa Jojic, Brendan J. Frey, Thomas S, Huang.
postscript (ps), portable document format (pdf).

An object-oriented Bayesian network for estimating mutation rates.
Philip Dawid.
postscript (ps), portable document format (pdf).

A unifying theorem for spectral embedding and clustering.
Matthew Brand, Kun Huang.
postscript (ps), portable document format (pdf).
Supplementary web page.

On Retrieval Properties of Samples of Large Collections.
David Madigan, Yehuda Vardi, Ishay Weissman.
postscript (ps), portable document format (pdf).

Sequential Importance Sampling for Visual Tracking Reconsidered.
Peter Torma, Csaba Szepesvari.
postscript (ps), portable document format (pdf).

Super-resolution Enhancement of Video.
Christopher M. Bishop, Andrew Blake, Bhaskara Marthi.
postscript (ps), portable document format (pdf).
Supplementary web page.

Discriminative Model Selection for Density Models.
Bo Thiesson, Christopher Meek.
postscript (ps), portable document format (pdf).

Planning by Probabilistic Inference.
Hagai Attias.
postscript (ps), portable document format (pdf).

Is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction?.
Wray Buntine, Sami Perttu.
postscript (ps), portable document format (pdf).