20. UAI 2004: Banff, Canada

• 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, Lluis 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 Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner:
  Bayesian Biosurveillance of Disease Outbreaks. 94-103
  
• Fabio 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
  
• Alexander 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 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, F. 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 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 D. Ravikumar, William W. Cohen:
  A Hierarchical Graphical Model for Record Linkage. 454-461
  
• Pradeep D. 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 P. 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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