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ORCID20th UAI 2004: Banff, Canada
- David Maxwell Chickering, Joseph Y. Halpern:
UAI '04, Proceedings of the 20th Conference in Uncertainty in Artificial Intelligence, Banff, Canada, July 7-11, 2004. AUAI Press 2004, ISBN 0-9749039-0-6 - Yasemin Altun, Alexander J. Smola, Thomas Hofmann:
Exponential Families for Conditional Random Fields. 2-9 - Leila Amgoud, Henri Prade:
Using Arguments for Making Decisions: A Possibilistic Logic Approach. 10-17 - Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun:
Recovering Articulated Object Models from 3D Range Data. 18-26 - Valentina Bayer Zubek:
Learning Diagnostic Policies from Examples by Systematic Search. 27-35 - Navin A. R. Bhat, Kevin Leyton-Brown:
Computing Nash Equilibria of Action-Graph Games. 35-42 - Bozhena Bidyuk, Rina Dechter:
On Finding Minimal w-cutset. 43-50 - Ronen I. Brafman, Carmel Domshlak, Tanya Kogan:
Compact Value-Function Representations for Qualitative Preferences. 51-59 - Wray L. Buntine, Aleks Jakulin:
Applying Discrete PCA in Data Analysis. 59-66 - Hei Chan, Adnan Darwiche:
Sensitivity Analysis in Bayesian Networks: From Single to Multiple Parameters. 67-75 - Carlos Iván Chesñevar, Guillermo Ricardo Simari, Teresa Alsinet, Lluís Godo:
A Logic Programming Framework for Possibilistic Argumentation with Vague Knowledge. 76-84 - Barry R. Cobb, Prakash P. Shenoy:
Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials. 85-93 - Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner:
Bayesian Biosurveillance of Disease Outbreaks. 94-103 - Fábio Gagliardi Cozman, Cassio Polpo de Campos, Jaime Shinsuke Ide, José Carlos Ferreira da Rocha:
Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitat. 104-111 - Peter R. de Waal, Linda C. van der Gaag:
Stable Independance and Complexity of Representation. 112-119 - Rina Dechter, Robert Mateescu:
Mixtures of Deterministic-Probabilistic Networks and their AND/OR Search Space. 120-129 - Mathias Drton, Thomas S. Richardson:
Iterative Conditional Fitting for Gaussian Ancestral Graph Models. 130-137 - Didier Dubois, Hélène Fargier:
A Unified framework for Order-of-magnitude Confidence Relations. 138-145 - Zhengzhu Feng, Shlomo Zilberstein:
Region-Based Incremental Pruning for POMDPs. 146-153 - Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, Richard Washington:
Dynamic Programming for Structured Continuous Markov Decision Problems. 154-161 - Norm Ferns, Prakash Panangaden, Doina Precup:
Metrics for Finite Markov Decision Processes. 162-169 - Alex Gammerman, Yuri Kalnishkan, Vladimir Vovk:
On-line Prediction with Kernels and the Complexity Approximation Principle. 170-176 - Luis David Garcia:
Algebraic Statistics in Model Selection. 177-184 - Phan Hong Giang, Sathyakama Sandilya:
Decision Making for Symbolic Probability. 185-192 - Amir Globerson, Naftali Tishby:
The Minimum Information Principle for Discriminative Learning. 193-200 - Vibhav Gogate, Rina Dechter:
A Complete Anytime Algorithm for Treewidth. 201-208 - Amy Greenwald, Justin A. Boyan:
Bidding under Uncertainty: Theory and Experiments. 209-216 - Charles Gretton, Sylvie Thiébaux:
Exploiting First-Order Regression in Inductive Policy Selection. 217-225 - Peter Grünwald, Joseph Y. Halpern:
When Ignorance is Bliss. 226-234 - Carlos Guestrin, Milos Hauskrecht, Branislav Kveton:
Solving Factored MDPs with Continuous and Discrete Variables. 235-242 - Firas Hamze, Nando de Freitas:
From Fields to Trees. 243-250 - Peter Hooper:
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters. 251-259 - Andrew G. Howard, Tony Jebara:
Dynamical Systems Trees. 260-267 - Nathanael Hyafil, Craig Boutilier:
Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty. 268-277 - Rong Jin, Luo Si:
A Bayesian Approach toward Active Learning for Collaborative Filtering. 278-285 - Nebojsa Jojic, Vladimir Jojic, David Heckerman:
Joint Discovery of Haplotype Blocks and Complex Trait Associations from SNP Sequences. 286-292 - Nebojsa Jojic, Yaron Caspi, Manuel Reyes-Gomez:
Probabilistic Index Maps for Modeling Natural Signals. 293-300 - Joseph M. Kahn:
A Generative Bayesian Model for Aggregating Experts' Probabilities. 301-308 - Seyoung Kim, Padhraic Smyth, Stefan Luther:
Modeling Waveform Shapes with Random E ects Segmental Hidden Markov Models. 309-316 - Sergey Kirshner, Padhraic Smyth, Andrew Robertson:
Conditional Chow-Liu Tree Structures for Modeling Discrete-Valued Vector Time Series. 317-314 - Ludmila I. Kuncheva, Christopher J. Whitaker, Peter D. Cockcroft, Z. S. J. Hoare:
Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in. 325-332 - Manabu Kuroki, Zhihong Cai:
Selection of Identifiability Criteria for Total Effects by using Path Diagrams. 333-340 - Guy Lebanon:
An Extended Cencov-Campbell Characterization of Conditional Information Geometry. 341-345 - Bing Li, Hongyuan Zha, Francesca Chiaromonte:
Linear Contour Learning: A Method for Supervised Dimension Reduction. 346-356 - Omid Madani, Daniel J. Lizotte, Russell Greiner:
Active Model Selection. 357-365 - Andres Madsen:
An Empirical Evaluation of Possible Variations of Lazy Propagation. 366-373 - Yongyi Mao, Frank R. Kschischang, Brendan J. Frey:
Convolutional Factor Graphs as Probabilistic Models. 374-381 - David A. McAllester, Michael Collins, Fernando Pereira:
Case-Factor Diagrams for Structured Probabilistic Modeling. 382-391 - Iain Murray, Zoubin Ghahramani:
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms. 392-399 - Iftach Nachman, Gal Elidan, Nir Friedman:
"Ideal Parent" Structure Learning for Continuous Variable Networks. 400-409 - Mukund Narasimhan, Jeff A. Bilmes:
PAC-learning Bounded Tree-width Graphical Models. 410-417 - Rodney D. Nielsen:
MOB-ESP and other Improvements in Probability Estimation. 418-425 - Alon Orlitsky, Narayana P. Santhanam, Krishnamurthy Viswanathan, Junan Zhang:
On Modeling Profiles Instead of Values. 426-435 - Mark A. Paskin, Carlos Guestrin:
Robust Probabilistic Inference in Distributed Systems. 436-445 - Judea Pearl:
Robustness of Causal Claims. 446-453 - Pradeep Ravikumar, William W. Cohen:
A Hierarchical Graphical Model for Record Linkage. 454-461 - Pradeep Ravikumar, John D. Lafferty:
Variational Chernoff Bounds for Graphical Models. 462-469 - Daniel M. Reeves, Michael P. Wellman:
Computing Best-Response Strategies in Infinite Games of Incomplete Information. 470-478 - Silja Renooij, Linda C. van der Gaag:
Evidence-invariant Sensitivity Bounds. 479-486 - Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth:
The Author-Topic Model for Authors and Documents. 487-494 - Lenhart K. Schubert:
A New Characterization of Probabilities in Bayesian Networks. 495-503 - Cosma Rohilla Shalizi, Kristina Lisa Shalizi:
Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences. 504-511 - Satinder Singh, Michael R. James, Matthew R. Rudary:
Predictive State Representations: A New Theory for Modeling Dynamical Systems. 512-518 - Huizhen Yu, Dimitri P. Bertsekas:
Discretized Approximations for POMDP with Average Cost. 519 - Trey Smith, Reid G. Simmons:
Heuristic Search Value Iteration for POMDPs. 520-527 - Rann Smorodinsky, Moshe Tennenholtz:
Sequential Information Elicitation in Multi-Agent Systems. 528-535 - Chris Stauffer:
Factored Latent Analysis for far-field Tracking Data. 536-543 - Moshe Tennenholtz:
Reputation Systems: An Axiomatic Approach. 544-551 - Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek:
ARMA Time-Series Modeling with Graphical Models. 552-560 - Jin Tian:
Identifying Conditional Causal Effects. 561-568 - Linda C. van der Gaag, Hans L. Bodlaender, A. J. Feelders:
Monotonicity in Bayesian Networks. 569-576 - Bo Wang, D. M. Titterington:
Convergence and Asymptotic Normality of Variational Bayesian Approximations for Expon. 577-584 - Max Welling:
On the Choice of Regions for Generalized Belief Propagation. 585-592 - Ben Wellner, Andrew McCallum, Fuchun Peng, Michael Hay:
An Integrated, Conditional Model of Information Extraction and Coreference with Appli. 593-601 - Eric P. Xing, Michael I. Jordan:
Graph Partition Strategies for Generalized Mean Field Inference. 602-610 - Xuejian Xiong, Kap Luk Chan:
Similarity-Driven Cluster Merging Method for Unsupervised Fuzzy Clustering. 611-627 - Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel:
Annealed MAP. 628-635 - C. Lawrence Zitnick, Takeo Kanade:
Maximum Entropy for Collaborative Filtering. 636-
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