18. UAI 2002: Edmonton, Alberta, Canada
Adnan Darwiche, Nir Friedman (Eds.): UAI '02, Proceedings of the 18th Conference in Uncertainty in Artificial Intelligence, University of Alberta, Edmonton, Alberta, Canada, August 1-4, 2002. Morgan Kaufmann 2002 ISBN 1-55860-897-4- Dragomir Anguelov, Rahul Biswas, Daphne Koller, Benson Limketkai, Sebastian Thrun: Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots. 10-17
- Ionut D. Aron, Pascal Van Hentenryck: A Constraint Satisfaction Approach to the Robust Spanning Tree Problem with Interval Data. 18-25
- Vincent Auvray, Louis Wehenkel: On the Construction of the Inclusion Boundary Neighbourhood for Markov Equivalence Classes of Bayesian Network Structures. 26-35
- Salem Benferhat, Didier Dubois, Souhila Kaci, Henri Prade: Bipolar Possibilistic Representations. 45-52
- David M. Blei, J. Andrew Bagnell, Andrew McCallum: Learning with Scope, with Application to Information Extraction and Classification. 53-60
- John L. Bresina, Richard Dearden, Nicolas Meuleau, Sailesh Ramakrishnan, David E. Smith, Richard Washington: Planning under Continuous Time and Resource Uncertainty: A Challenge for AI. 77-84
- Byron Dom: An Information-Theoretic External Cluster-Validity Measure. 137-145
- Thomas Eiter, Thomas Lukasiewicz: Causes and Explanations in the Structural-Model Approach : Tractable Cases. 146-153
- Sarah Finney, Peter P. Wakker, Leslie Pack Kaelbling, Tim Oates: The Thing that we Tried Didn't Work very Well: Deictic Representation in Reinforcement Learning. 154-161
- Dan Geiger, Christopher Meek, Bernd Sturmfels: Factorization of Discrete Probability Distributions. 162-169
- Phan Hong Giang, Prakash P. Shenoy: Statistical Decisions Using Likelihood Information Without Prior Probabilities. 170-178
- Joshua Goodman: Reduction of Maximum Entropy Models to Hidden Markov Models. 179-186
- Tom Heskes, Onno Zoeter: Expectation Propogation for Approximate Inference in Dynamic Bayesian Networks. 216-223
- Eric Horvitz, Paul Koch, Carl Myers Kadie, Andy Jacobs: Coordinates: Probabilistic Forecasting of Presence and Availability. 224-233
- Carl Myers Kadie, Christopher Meek, David Heckerman: CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence. 242-250
- Mehmet Kayaalp, Gregory F. Cooper: A Bayesian Network Scoring Metic that Is Based on Globally Uniform Parameter Priors. 251-258
- Michael J. Kearns, Yishay Mansour: Efficient Nash Computation in Large Population Games with Bounded Influence. 259-266
- Tomás Kocka, Nevin Lianwen Zhang: Dimension Correction for Hierarchical Latent Class Models. 267-274
- Samuel Kutin, Partha Niyogi: Almost-everywhere Algorithmic Stability and Generalization Error. 275-282
- Martijn A. R. Leisink, Hilbert J. Kappen: General Lower Bounds based on Computer Generated Higher Order Expansions. 293-300
- Uri Lerner, Brooks Moses, Scott Maricia, Sheila A. McIlraith, Daphne Koller: Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net. 301-310
- Omid Madani: Polynomial Value Iteration Algorithms for Detrerminstic MDPs. 311-318
- Andrew W. Moore, Jeff G. Schneider: Real-valued All-Dimensions Search: Low-overhead Rapid Searching over Subsets of Attributes. 360-369
- James D. Park: MAP Complexity Results and Approximation Methods. 388-396
- Tatjana Pavlenko, Dietrich von Rosen: Bayesian Network Classifiers in a High Dimensional Framework. 397-404
- David M. Pennock, Sandip Debnath, Eric J. Glover, C. Lee Giles: Modelling Information Incorporation in Markets, with Application to Detecting and Explaining Events. 405-413
- Ryan Porter, Amir Ronen, Yoav Shoham, Moshe Tennenholtz: Mechanism Design with Execution Uncertainty. 414-421
- Silja Renooij, Linda C. van der Gaag: From Qualitative to Quantitative Probabilistic Networks. 422-429
- José Carlos Ferreira da Rocha, Fabio Gagliardi Cozman: Inference with Seperately Specified Sets of Probabilities in Credal Networks. 430-437
- Robert E. Schapire: Advances in Boosting. 446-452
- Christian R. Shelton: Reinforcement Learning with Partially Known World Dynamics. 461-468
- Masami Takikawa, Bruce D'Ambrosio, Ed Wright: Real-Time Inference with Large-Scale Temporal Bayes Nets. 477-484
- Benjamin Taskar, Pieter Abbeel, Daphne Koller: Discriminative Probabilistic Models for Relational Data. 485-492
- Sylvie Thiébaux, Froduald Kabanza, John K. Slaney: Anytime State-Based Solution Methods for Decision Processes with non-Markovian Rewards. 501-510
- Sebastian Thrun: Particle Filters in Robotics. 511-518
- Jirí Vomlel: Exploiting Functional Dependence in Bayesian Network Inference. 528-535
- Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky: A New Class of upper Bounds on the Log Partition Function. 536-543
- Peter P. Wakker: Decision Principles to Justify Carnap's Updating Method and to Suggest Corrections. 544-551
- Marco Zaffalon, Marcus Hutter: Robust Feature Selection by Mutual Information Distributions. 577-584
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last updated on 2013-06-19T203413 by the dblp team