Models for Conditional Probability Tables in Educational Assessment

Russell G. Almond, Lou DiBello, Frank Jenkins, Deniz Senturk, Robert J. Mislevy, Linda S. Steinberg, Duanli Yan; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:1-7

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Learning in high dimensions: Modular Mixture Models

Hagai Attias; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:8-12

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Learning Bayesian networks with mixed variables

Susanne Bottcher; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:13-20

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Products of Hidden Markov Models

Andrew D. Brown, Geoffrey E. Hinton; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:21-28

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Information-Theoretic Advisors in Invisible Chess

Ariel E. Bud, David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:29-34

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

Rich Caruana; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:35-40

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Managing Multiple Models

Hugh A. Chipman, Edward I. George, Robert E. McCulloch; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:41-48

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Solving Hidden-Mode Markov Decision Problems

Samuel Ping-Man Choi, Nevin Lianwen Zhang, Dit-Yan Yeung; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:49-56

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Bagging and the Bayesian Bootstrap

Merlise Clyde, Herbert Lee; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:57-62

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Hyperparameters for Soft Bayesian Model Selection

Adrian Corduneanu, Christopher M. Bishop; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:63-70

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On searching for optimal classifiers among Bayesian networks

Robert G. Cowell; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:71-76

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Statistical Aspects of Stochastic Logic Programs

James Cussens; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:77-82

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Some variations on variation independence.

A. Philip Dawid; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:83-86

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

Eric de Bodt, Marie Cottrell, Michel Verleysen; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:87-92

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

Michael O. Duff; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:93-97

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Why Averaging Classifiers can Protect Against Overfitting

Yoav Freund, Yishay Mansour, Robert E. Schapire; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:98-105

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Dual perturb and combine algorithm

Pierre Geurts; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:106-111

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Handling Missing and Unreliable Information in Speech Recognition

Phil D. Green, Jon Barker, Martin Cooke, Ljubomir Josifovski; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:112-116

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

Anne Guérin-Dugué, Gilles Celeux; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:117-122

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Profile Likelihood in Directed Graphical Models from BUGS Output

Malene Højbjerre; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:123-128

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Is regularization unnecessary for boosting?

Wenxin Jiang; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:129-136

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

Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:137-142

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Predicting with Variables Constructed from Temporal Sequences

Mehmet Kayaalp, Gregory F. Cooper, Gilles Clermont; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:143-148

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Another look at sensitivity of Bayesian networks to imprecise probabilities

Oscar Kipersztok, Haiqin Wang; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:149-155

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Comparing Prequential Model Selection Criteria in Supervised Learning of Mixture Models

Petri Kontkanen, Petri Myllymäki, Henry Tirri; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:156-161

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Bayesian Support Vector Regression

Martin H. C. Law, James Tin-Yau Kwok; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:162-167

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Variational Learning for Multi-Layer Networks of Linear Threshold Units

Neil D. Lawrence; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:168-175

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On the effectiveness of the skew divergence for statistical language analysis

Lillian Lee; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:176-183

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A Simulation Study of Three Related Causal Data Mining Algorithms

Subramani Mani, Gregory F. Cooper; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:184-191

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Finding a path is harder than finding a tree

Christopher Meek; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:192-195

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The Learning Curve Method Applied to Clustering

Christopher Meek, Bo Thiesson, David Heckerman; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:196-202

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A Random Walks View of Spectral Segmentation

Marina Meilă, Jianbo Shi; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:203-208

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An improved training algorithm for kernel Fisher discriminants

Sebastian Mika, Alexander J. Smola, Bernhard Schölkopf; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:209-215

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

Scott Needham, David L. Dowe; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:216-223

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Using Unsupervised Learning to Guide Resampling in Imbalanced Data Sets

Adam Nickerson, Nathalie Japkowicz, Evangelos E. Milios; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:224-228

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Online Bagging and Boosting

Nikunj C. Oza, Stuart J. Russell; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:229-236

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Geographical Clustering of Cancer Incidence by Means of Bayesian Networks and Conditional Gaussian Networks

José M. Peña, I. Izarzugaza, José Antonio Lozano, E. Aldasoro, Pedro Larrañaga; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:237-242

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Stochastic System Monitoring and Control

Gregory M. Provan; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:243-250

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Can the Computer Learn to Play Music Expressively?

Christopher Raphael; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:251-258

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On Parameter Priors for Discrete DAG Models

Dmitry Rusakov, Dan Geiger; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:259-264

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Piecewise Linear Instrumental Variable Estimation of Causal Influence

Richard Scheines, Gregory F. Cooper, Changwon Yoo, Tianjiao Chu; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:265-271

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

Duncan Smith; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:272-277

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An Anytime Algorithm for Causal Inference

Peter Spirtes; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:278-285

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Dynamic Positional Trees for Structural Image Analysis

Amos J. Storkey, Christopher K. I. Williams; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:286-292

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Temporal Matching under Uncertainty

Ahmed Y. Tawfik, Greg Scott; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:293-297

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A Kernel Approach for Vector Quantization with Guaranteed Distortion Bounds

Michael E. Tipping, Bernhard Schölkopf; Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, PMLR R3:298-303

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