__AISTATS 2001 Papers__

Models for Conditional Probability Tables in Educational Assessment

R. G. Almond, L. DiBello, F. Jenkins, D. Senturk, R. J. Mislevy, L. S. Steinberg, D. Yan

Learning in high dimensions: modular mixture models

Hagai Attias

Learning Bayesian networks with mixed variables

Susanne Bottcher

Products of Hidden Markov Models

Andrew D. Brown, Geoffrey E. Hinton

Information-Theoretic Advisors in Invisible Chess

Ariel Bud, David Albrecht, Ann Nicholson, Ingrid Zukerman

A Non-Parametric EM-Style Algorithm for Imputing Missing Values

Rich Caruana

Managing Multiple Models

Hugh A. Chipman, Edward I. George, Robert E. McCulloch

Solving Hidden-Mode Markov Decision Problems

Samuel Ping-Man Choi, Nevin L. Zhang, Dit-Yan Yeung

Bagging and the Bayesian Bootstrap

Merlise Clyde, Herbert Lee

Hyperparameters for Soft Bayesian Model Selection

Adrian Corduneanu, Christopher M. Bishop

On searching for optimal classifiers among Bayesian networks

Robert G. Cowell

Statistical Aspects of Stochastic Logic Programs

James Cussens

Some variations on variation independence.

A. P. Dawid

Are they really neighbors? A statistical analysis of the SOM algorithm output

Eric de Bodt, Marie Cottrell, Michel Verleysen

Monte-Carlo Algorithms for the Improvement of Finite-State Stochastic Controllers: Application to Bayes-Adaptive Markov Decision Processes

Michael Duff

Why averaging classifiers can protect against overfitting

Yoav Freund, Yishay Mansour, Robert E. Schapire

Dual perturb and combine algorithm

Pierre Geurts

Handling Missing and Unreliable Information in Speech Recognition

Phil Green, Jon Barker, Martin Cooke, Ljubomir Josifovski

Discriminant Analysis on Dissimilarity Data : a New Fast Gaussian like Algorithm

Anne Guerin-Dugue, Gilles Celeux

Profile Likelihood in Directed Graphical Models from BUGS Output

Malene Hojbjerre

Is regularization unnecessary for boosting?

Wenxin Jiang

Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching

Nebojsa Jojic, Patrice Simard, Brendan Frey, David Heckerman

Predicting with Variables Constructed from Temporal Sequences

Mehmet Kayaalp, Greg Cooper, Gilles Clermont

Another look at sensitivity of Bayesian networks to imprecise probabilities

Oscar Kipersztok, Haiqin Wang

Comparing Prequential Model Selection Criteria in Supervised Learning of Mixture Models

Petri Kontkanen, Petri Myllymaki, Henry Tirri

Bayesian Support Vector Regression

Martin Law, James Kwok

Variational Learning for Multi-Layer Networks of Linear Threshold Units

Neil Lawrence

On the effectiveness of the skew divergence for statistical language analysis

Lillian Lee

A Simulation Study of Three Related Causal Data Mining Algorithms

Subramani Mani, Gregory F. Cooper

Finding a path is harder than finding a tree

Christopher Meek

The Learning Curve Method Applied to Clustering

Christopher Meek, Bo Thiesson, David Heckerman

A Random Walks View of Spectral Segmentation

Marina Meila, Jianbo Shi

An improved training algorithm for kernel Fisher discriminants

Sebastian Mika, Alexander Smola, Bernhard Schoelkopf

Message Length as an Effective Ockham's Razor in Decision Tree Induction

Scott Needham, David Dowe

Using Unsupervised Learning to Guide Resampling in Imbalanced Data Sets

Adam Nickerson, Nathalie Japkowicz, Evangelos Milios

Online Bagging and Boosting

Nikunj C. Oza, Stuart Russell

Geographical clustering of cancer incidence by means of Bayesian networks and conditional Gaussian networks

J. M. Pena, I. Izarzugaza, J. A. Lozano, E. Aldasoro, P. Larranaga

Stochastic System Monitoring and Control

Gregory Provan

Can the Computer Learn to Play Music Expressively?

Christopher Raphael

On Parameter Priors for Discrete DAG Models

Dmitry Rusakov, Dan Geiger

Piecewise Linear Instrumental Variable Estimation of Causal Influence

Richard Scheines, Greg Cooper, Changwon Yoo, Tianjiao Chu

The Efficient Propagation of Arbitrary Subsets of Beliefs in Discrete-Valued Bayesian Networks

Duncan Smith

An Anytime Algorithm for Causal Inference

Peter Spirtes

Dynamic Positional Trees for Structural Image Analysis

Amos Storkey, Christopher Williams

Temporal Matching under Uncertainty

Ahmed Tawfik, Greg Scott

A Kernel Approach for Vector Quantization with Guaranteed Distortion Bounds

Michael E. Tipping, Bernhard Schoelkopf