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GeezerVison is showing proceedings.mlr.press — Proceedings of Machine Learning Research [edit] Reissue R2: Seventh International Workshop on Artificial Intelligence and Statistics, 3-6 January 1999, Fort Lauderdale, FL, USA[edit] Editors: David Heckerman, Joe Whittaker Filter Authors: Filter Titles: A Note on the Comparison of Polynomial Selection Methods Murlikrishna Viswanathan, Chris S. Wallace; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] An experiment in causal discovery using a pneumonia database Peter Spirtes, Gregory F. Cooper; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] Boosting Methodology for Regression Problems Greg Ridgeway, David Madigan, Thomas S. Richardson; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] Tractable Structure Search in the Presence of Latent Variables Thomas Richardson, Heiko Bailer, Moulinath Banarjees; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] Efficient Mining of Statistical Dependencies Tim Oates, Matthew D. Schmill, Paul R. Cohen, Casey Durfee; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] Bayesian Graphical Models, Intention-to-Treat, and the Rubin Causal Model David Madigan; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] Stochastic Local Search for Bayesian Network Kalev Kask, Rina Dechter; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] Hierarchical Mixtures-of-Experts for Generalized Linear Models: Some Results on Denseness and Consistency Wenxin Jiang, Martin A. Tanner; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] Probabilistic Kernel Regression Models Tommi S. Jaakkola, David Haussler; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] Mean field inference in a general probabilistic setting Michael Haft, Reimar Hofmann, Volker Tresp; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] Model choice: A minimum posterior predictive loss approach Sujit Kumar Ghosh, Alan E. Gelfand; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] On the geometry of DAG models with hidden variables Dan Geiger, David Heckerman, Henry King, Christopher Meek; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] Geometric modeling of a nuclear environment Jan De Geeter, Marc Decréton, Joris De Schutter, Herman Bruyninckx, Hendrik Van Brussel; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] Efficient learning using constrained sufficient statistics Nir Friedman, Lise Getoor; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] Modeling decision tree performance with the power law Lewis J. Frey, Douglas H. Fisher; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] Process-oriented evaluation: The next step Pedro M. Domingos; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2: [abs][Download PDF] Hierarchical IFA Belief Networks Hagai Attias; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2:1-9 [abs][Download PDF] Pattern Discovery via Entropy Minimization Matthew Brand; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2:10-17 [abs][Download PDF] Causal Mechanisms and Classification Trees for Predicting Chemical Carcinogens Louis Anthony Cox Jr; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2:18-26 [abs][Download PDF] Conditional products: An alternative approach to conditional independence A. Philip Dawid, Milan Studený; Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, PMLR R2:27-35 [abs][Download PDF] subscribe via RSS |
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