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Volume R1: Seventh International Workshop on Artificial Intelligence and Statistics, 3-6 January 1999, Fort Lauderdale, FL, USA

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Editors: David Heckerman, Joe Whittaker

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A note on the comparison of polynomial selection methods

Murlikrishna Viswanathan, Chris S. Wallace; PMLR R1:

An experiment in causal discovery using a pneumonia database

Peter Spirtes, Gregory F. Cooper; PMLR R1:

Boosting methodology for regression problems

Greg Ridgeway, David Madigan, Thomas Richardson; PMLR R1:

Tractable structure search in the presence of latent variables

Thomas Richardson, Heiko Bailer, Moulinath Banarjees; PMLR R1:

Efficient mining of statistical dependencies

Tim Oates, Matthew D. Schmill, Paul R. Cohen, Casey Durfee; PMLR R1:

Bayesian Graphical models, Intention-to-treat, and the Rubin Causal Model

David Madigan; PMLR R1:

Stochastic local search for Bayesian network

Kalev Kask, Rina Dechter; PMLR R1:

Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency

Wenxin Jiang, Martin A. Tanner; PMLR R1:

Probabilistic kernel regression models

Tommi S. Jaakkola, David Haussler; PMLR R1:

Mean field inference in a general probabilistic setting

Michael Haft, Reimar Hofmann, Volker Tresp; PMLR R1:

Model choice: A minimum posterior predictive loss approach

Sujit Kumar Ghosh, Alan E. Gelfand; PMLR R1:

On the geometry of DAG models with hidden variables

Dan Geiger, David Heckerman, Henry King, Christopher Meek; PMLR R1:

Geometric modeling of a nuclear environment

Jan De Geeter, Marc Decréton, Joris De Schutter, Herman Bruyninckx, Hendrik Van Brussel; PMLR R1:

Efficient learning using constrained sufficient statistics

Nir Friedman, Lise Getoor; PMLR R1:

Modeling decision tree performance with the power law

Lewis J. Frey, Douglas H. Fisher; PMLR R1:

Process-oriented evaluation: The next step

Pedro M. Domingos; PMLR R1:

Hierarchical IFA Belief Networks

Hagai Attias; PMLR R1:1-9

Pattern discovery via entropy minimization

Matthew Brand; PMLR R1:10-17

Causal Mechanisms and Classification Trees for Predicting Chemical Carcinogens

Louis Anthony Cox Jr.; PMLR R1:18-26

Conditional products: An alternative approach to conditional independence

A. Philip Dawid, Milan Studený; PMLR R1:27-35

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