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 
@proceedings{DBLP:conf/uai/2002,
editor = {Adnan Darwiche and
Nir Friedman},
title = {UAI '02, Proceedings of the 18th Conference in Uncertainty in
Artificial Intelligence, University of Alberta, Edmonton, Alberta,
Canada, August 1-4, 2002},
booktitle = {UAI},
publisher = {Morgan Kaufmann},
year = {2002},
isbn = {1-55860-897-4},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
- Ayesha R. Ali, Thomas Richardson:
Markov Equivalence Classes for Maximal Ancestral Graphs.
1-9
- 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
- Francis R. Bach, Michael I. Jordan:
Tree-dependent Component Analysis.
36-44
- 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
- Blai Bonet, Judea Pearl:
Qualitative MDPs and POMDPs: An Order-Of-Magnitude Approximation.
61-68
- Ronen I. Brafman, Carmel Domshlak:
Introducing Variable Importance Tradeoffs into CP-Nets.
69-76
- John L. Bresina, Richard Dearden, Nicolas Meuleau, Sailesh Ramkrishnan, David E. Smith, Richard Washington:
Planning under Continuous Time and Resource Uncertainty: A Challenge for AI.
77-84
- Carlos Brito, Judea Pearl:
Generalized Instrumental Variables.
85-93
- David Maxwell Chickering, Christopher Meek:
Finding Optimal Bayesian Networks.
94-102
- Vincent Conitzer, Tuomas Sandholm:
Complexity of Mechanism Design.
103-110
- Adrian Corduneanu, Tommi Jaakkola:
Continuation Methods for Mixing Heterogenous Sources.
111-118
- Scott Davies, Andrew W. Moore:
Interpolating Conditional Density Trees.
119-127
- Rina Dechter, Kalev Kask, Robert Mateescu:
Iterative Join-Graph Propagation.
128-136
- 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
- Peter Grünwald, Joseph Y. Halpern:
Updating Probabilities.
187-196
- Carlos Guestrin, Geoffrey J. Gordon:
Distributed Planning in Hierarchical Factored MDPs.
197-206
- Joseph Y. Halpern, Riccardo Pucella:
Reasoning about Expectation.
207-215
- 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
- Finn Verner Jensen, Marta Vomlelová:
Unconstrained Influence Diagrams.
234-241
- 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
- Michail G. Lagoudakis, Ronald Parr:
Value Function Approximation in Zero-Sum Markov Games.
283-292
- 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
- Bhaskara Marthi, Hanna Pasula, Stuart J. Russell, Yuval Peres:
Decayed MCMC Filtering.
319-326
- Peter McBurney, Simon Parsons:
Formalizing Scenario Analysis.
327-334
- Christopher Meek, Bo Thiesson, David Heckerman:
Staged Mixture Modelling and Boosting.
335-343
- Ramgopal R. Mettu, C. Greg Plaxton:
Optimal Time Bounds for Approximate Clustering.
344-351
- Thomas P. Minka, John D. Lafferty:
Expectation-Propogation for the Generative Aspect Model.
352-359
- Andrew W. Moore, Jeff G. Schneider:
Real-valued All-Dimensions Search: Low-overhead Rapid Searching over Subsets of Attributes.
360-369
- Brenda Ng, Leonid Peshkin, Avi Pfeffer:
Factored Particles for Scalable Monitoring.
370-377
- Uri Nodelman, Christian R. Shelton, Daphne Koller:
Continuous Time Bayesian Networks.
378-387
- 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
- Dmitry Rusakov, Dan Geiger:
Asymptotic Model Selection for Naive Bayesian Networks.
438-445
- Robert E. Schapire:
Advances in Boosting.
446-452
- Guy Shani, Ronen I. Brafman, David Heckerman:
An MDP-based Recommender System.
453-460
- Christian R. Shelton:
Reinforcement Learning with Partially Known World Dynamics.
461-468
- Harald Steck, Tommi Jaakkola:
Unsupervised Active Learning in Large Domains.
469-476
- 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
- Sekhar Tatikonda, Michael I. Jordan:
Loopy Belief Propogation and Gibbs Measures.
493-500
- 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
- Jin Tian, Judea Pearl:
On the Testable Implications of Causal Models with Hidden Variables.
519-527
- 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
- Yang Wang, Tele Tan:
Adaptive Foreground and Shadow Detection in Image Sequences.
552-559
- Wim Wiegerinck, Tom Heskes:
IPF for Discrete Chain Factor Graphs.
560-567
- Sung Wook Yoon, Alan Fern, Robert Givan:
Inductive Policy Selection for First-Order MDPs.
568-576
- Marco Zaffalon, Marcus Hutter:
Robust Feature Selection by Mutual Information Distributions.
577-584
Copyright © Sat Nov 14 05:34:07 2009
by Michael Ley (ley@uni-trier.de)
