19. UAI 2003:
Acapulco,
Mexico
Christopher Meek, Uffe Kjærulff (Eds.):
UAI '03, Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence, August 7-10 2003, Acapulco, Mexico.
Morgan Kaufmann 2003, ISBN 0-127-05664-5 BibTeX
- David Allen, Adnan Darwiche:
New Advances in Inference by Recursive Conditioning.
2-10 BibTeX
- David Azari, Eric Horvitz, Susan T. Dumais, Eric Brill:
Web-Based Question Answering: A Decision-Making Perspective.
11-19 BibTeX
- Fahiem Bacchus, Shannon Dalmao, Toniann Pitassi:
Value Elimination: Bayesian Interence via Backtracking Search.
20-28 BibTeX
- Salem Benferhat, Sylvain Lagrue, Odile Papini:
A possibilistic handling of partially ordered information.
29-36 BibTeX
- Bozhena Bidyuk, Rina Dechter:
An Empirical Study of w-Cutset Sampling for Bayesian Networks.
37-46 BibTeX
- Jeff A. Bilmes, Chris Bartels:
On Triangulating Dynamic Graphical Models.
47-56 BibTeX
- Christopher M. Bishop, Markus Svensén:
Bayesian Hierarchical Mixtures of Experts.
57-64 BibTeX
- Andrea Bobbio, Stefania Montani, Luigi Portinale:
Parametric Dependability Analysis through Probabilistic Horn Abduction.
65-72 BibTeX
- Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag:
Upgrading Ambiguous Signs in QPNs.
73-80 BibTeX
- Richard Booth, Eva Richter:
On revising fuzzy belief bases.
81-88 BibTeX
- Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh:
Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation.
89-97 BibTeX
- Craig Boutilier, Richard S. Zemel, Benjamin Marlin:
Active Collaborative Filtering.
98-106 BibTeX
- Hei Chan, Adnan Darwiche:
Reasoning about Bayesian Network Classifiers.
107-115 BibTeX
- Sanjay Chaudhuri, Thomas Richardson:
Using the structure of d-connecting paths as a qualitative measure of the strength of dependence.
116-123 BibTeX
- David Maxwell Chickering, Christopher Meek, David Heckerman:
Large-Sample Learning of Bayesian Networks is NP-Hard.
124-133 BibTeX
- Darya Chudova, Scott Gaffney, Padhraic Smyth:
Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves.
134-141 BibTeX
- Gert de Cooman, Marco Zaffalon:
Updating with incomplete observations.
142-150 BibTeX
- Adrian Corduneanu, Tommi Jaakkola:
On Information Regularization.
151-158 BibTeX
- Christopher Crick, Avi Pfeffer:
Loopy Belief Propagation as a Basis for Communication in Sensor Networks.
159-166 BibTeX
- Denver Dash, Marek J. Druzdzel:
Robust Independence Testing for Constraint-Based Learning of Causal Structure.
167-174 BibTeX
- Rina Dechter, Robert Mateescu:
A Simple Insight into Iterative Belief Propagation's Success.
175-183 BibTeX
- Mathias Drton, Thomas S. Richardson:
A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence.
184-191 BibTeX
- Thomas Eiter, Thomas Lukasiewicz:
Probabilistic Reasoning about Actions in Nonmonotonic Causal Theories.
192-199 BibTeX
- Gal Elidan, Nir Friedman:
The Information Bottleneck EM Algorithm.
200-208 BibTeX
- Zhengzhu Feng, Eric A. Hansen, Shlomo Zilberstein:
Symbolic Generalization for On-line Planning.
209-216 BibTeX
- José Carlos Ferreira da Rocha, Fabio Gagliardi Cozman, Cassio Polpo de Campos:
Inference in Polytrees with Sets of Probabilities.
217-224 BibTeX
- Alberto Finzi, Thomas Lukasiewicz:
Structure-Based Causes and Explanations in the Independent Choice Logic.
225-232 BibTeX
- M. Julia Flores, José A. Gámez, Kristian G. Olesen:
Incremental compilation of Bayesian networks.
233-240 BibTeX
- Ari Frank, Dan Geiger, Zohar Yakhini:
A Distance-Based Branch and Bound Feature Selection Algorithm.
241-248 BibTeX
- Eibe Frank, Mark Hall, Bernhard Pfahringer:
Locally Weighted Naive Bayes.
249-256 BibTeX
- Brendan J. Frey:
Extending Factor Graphs so as to Unify Directed and Undirected Graphical Models.
257-264 BibTeX
- Yong Gao:
Phase Transition of Tractability in Constraint Satisfaction and Bayesian Network Inference.
265-271 BibTeX
- Phan Hong Giang, Prakash P. Shenoy:
Decision Making with Partially Consonant Belief Functions.
272-280 BibTeX
- Amir Globerson, Gal Chechik, Naftali Tishby:
Sufficient Dimensionality Reduction with Irrelevance Statistics.
281-288 BibTeX
- Charles Gretton, David Price, Sylvie Thiébaux:
Implementation and Comparison of Solution Methods for Decision Processes with Non-Markovian Rewards.
289-296 BibTeX
- Joseph Y. Halpern, Riccardo Pucella:
A Logic for Reasoning about Evidence.
297-304 BibTeX
- Milos Hauskrecht, Tomás Singliar:
Monte-Carlo optimizations for resource allocation problems in stochastic network systems.
305-312 BibTeX
- Tom Heskes, Kees Albers, Bert Kappen:
Approximate Inference and Constrained Optimization.
313-320 BibTeX
- Mark Hopkins:
Layerwidth: Analysis of a New Metric for Directed Acyclic Graphs.
321-328 BibTeX
- Rong Jin, Luo Si, ChengXiang Zhai:
Preference-based Graphic Models for Collaborative Filtering.
329-336 BibTeX
- Shyong K. Lam, David M. Pennock, Dan Cosley, Steve Lawrence:
1 Billion Pages = 1 Million Dollars? Mining the Web to Play "Who Wants to be a Millionaire?".
337-345 BibTeX
- David Larkin:
Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries.
346-353 BibTeX
- Gregory Lawrence, Noah J. Cowan, Stuart J. Russell:
Efficient Gradient Estimation for Motor Control Learning.
354-361 BibTeX
- Guy Lebanon:
Learning Riemannian Metrics.
362-369 BibTeX
- Liping Liu, Catherine Shenoy, Prakash P. Shenoy:
A Linear Belief Function Approach to Portfolio Evaluation.
370-377 BibTeX
- Daniel J. Lizotte, Omid Madani, Russell Greiner:
Budgeted Learning of Naive-Bayes Classifiers.
378-385 BibTeX
- Fletcher Lu, Dale Schuurmans:
Monte Carlo Matrix Inversion Policy Evaluation.
386-393 BibTeX
- Radu Marinescu, Kalev Kask, Rina Dechter:
Systematic vs. Non-systematic Algorithms for Solving the MPE Task.
394-402 BibTeX
- Andrew McCallum:
Efficiently Inducing Features of Conditional Random Fields.
403-410 BibTeX
- Christopher Meek, David Maxwell Chickering:
Practically Perfect.
411-416 BibTeX
- Nicolas Meuleau, David E. Smith:
Optimal Limited Contingency Planning.
417-426 BibTeX
- Francisco Mugica, Àngela Nebot, Pilar Gómez:
Dealing with Uncertainty in Fuzzy Inductive Reasoning Methodology.
427-434 BibTeX
- Jens D. Nielsen, Tomás Kocka, José Manuel Peña:
On Local Optima in Learning Bayesian Networks.
435-442 BibTeX
- Daniel Nikovski, Matthew Brand:
Marginalizing Out Future Passengers in Group Elevator Control.
443-450 BibTeX
- Uri Nodelman, Christian R. Shelton, Daphne Koller:
Learning Continuous Time Bayesian Networks.
451-458 BibTeX
- James D. Park, Adnan Darwiche:
Solving MAP Exactly using Systematic Search.
459-468 BibTeX
- Patrice Perny, Olivier Spanjaard:
An Axiomatic Approach to Robustness in Search Problems with Multiple Scenarios.
469-476 BibTeX
- Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun:
Policy-contingent abstraction for robust robot control.
477-484 BibTeX
- Rómer Rosales, Brendan J. Frey:
Learning Generative Models of Similarity Matrices.
485-492 BibTeX
- Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun:
Decentralized Sensor Fusion with Distributed Particle Filters.
493-500 BibTeX
- Dmitry Rusakov, Dan Geiger:
Automated Analytic Asymptotic Evaluation of the Marginal Likelihood for Latent Models.
501-508 BibTeX
- Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani:
On the Convergence of Bound Optimization Algorithms.
509-516 BibTeX
- Vítor Santos Costa, David Page, Maleeha Qazi, James Cussens:
CLP(BN): Constraint Logic Programming for Probabilistic Knowledge.
517-524 BibTeX
- Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman:
Learning Module Networks.
525-534 BibTeX
- Rita Sharma, David Poole:
Efficient Inference in Large Discrete Domains.
535-542 BibTeX
- Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes:
Learning Measurement Models for Unobserved Variables.
543-550 BibTeX
- Benjamin Stewart, Jonathan Ko, Dieter Fox, Kurt Konolige:
The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach.
551-558 BibTeX
- Amos J. Storkey, Nigel C. Hambly, Christopher K. I. Williams, Robert G. Mann:
Renewal Strings for Cleaning Astronomical Databases.
559-566 BibTeX
- Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
Boltzmann Machine Learning with the Latent Maximum Entropy Principle.
567-574 BibTeX
- Max Welling, Richard S. Zemel, Geoffrey E. Hinton:
Efficient Parametric Projection Pursuit Density Estimation.
575-582 BibTeX
- Eric P. Xing, Michael I. Jordan, Stuart J. Russell:
A generalized mean field algorithm for variational inference in exponential families.
583-591 BibTeX
- Keisuke Yamazaki, Sumio Watanabe:
Stochastic Complexity of Bayesian Networks.
592-599 BibTeX
- Chen-Hsiang Yeang, Martin Szummer:
Markov Random Walk Representations with Continuous Distributions.
600-607 BibTeX
- Joel Young, Thomas Dean:
Exploiting Locality in Searching the Web.
608-615 BibTeX
- Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang:
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes.
616-623 BibTeX
- Changhe Yuan, Marek J. Druzdzel:
An Importance Sampling Algorithm Based on Evidence Pre-propagation.
624-631 BibTeX
- Jiji Zhang, Peter Spirtes:
Strong Faithfulness and Uniform Consistency in Causal Inference.
632-639 BibTeX
Copyright © Sat May 16 23:44:09 2009
by Michael Ley (ley@uni-trier.de)
