UAI 2004

77 papers

"Ideal Parent" Structure Learning for Continuous Variable Networks Iftach Nachman, Gal Elidan, Nir Friedman

A Bayesian Approach Toward Active Learning for Collaborative Filtering Rong Jin, Luo Si

A Complete Anytime Algorithm for Treewidth Vibhav Gogate, Rina Dechter

A Generative Bayesian Model for Aggregating Experts' Probabilities Joseph M. Kahn

A Hierarchical Graphical Model for Record Linkage Pradeep Ravikumar, William W. Cohen

A Logic Programming Framework for Possibilistic Argumentation with Vague Knowledge Carlos Iván Chesñevar, Guillermo Ricardo Simari, Teresa Alsinet, Lluís Godo

A New Characterization of Probabilities in Bayesian Networks Lenhart K. Schubert

A Unified Framework for Order-of-Magnitude Confidence Relations Didier Dubois, Hélène Fargier

Active Model Selection Omid Madani, Daniel J. Lizotte, Russell Greiner

Algebraic Statistics in Model Selection Luis David Garcia

An Empirical Evaluation of Possible Variations of Lazy Propagation Andres Madsen

An Extended Cencov-Campbell Characterization of Conditional Information Geometry Guy Lebanon

An Integrated, Conditional Model of Information Extraction and Coreference with Appli Ben Wellner, Andrew McCallum, Fuchun Peng, Michael Hay

Annealed MAP Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel

Applying Discrete PCA in Data Analysis Wray L. Buntine, Aleks Jakulin

ARMA Time-Series Modeling with Graphical Models Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek

Bayesian Biosurveillance of Disease Outbreaks Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner

Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms Iain Murray, Zoubin Ghahramani

Bidding Under Uncertainty: Theory and Experiments Amy Greenwald, Justin A. Boyan

Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences Cosma Rohilla Shalizi, Kristina Lisa Shalizi

Case-Factor Diagrams for Structured Probabilistic Modeling David A. McAllester, Michael Collins, Fernando Pereira

Compact Value-Function Representations for Qualitative Preferences Ronen I. Brafman, Carmel Domshlak, Tanya Kogan

Computing Best-Response Strategies in Infinite Games of Incomplete Information Daniel M. Reeves, Michael P. Wellman

Computing Nash Equilibria of Action-Graph Games Navin A. R. Bhat, Kevin Leyton-Brown

Conditional Chow-Liu Tree Structures for Modeling Discrete-Valued Vector Time Series Sergey Kirshner, Padhraic Smyth, Andrew Robertson

Convergence and Asymptotic Normality of Variational Bayesian Approximations for Expon Bo Wang, D. M. Titterington

Convolutional Factor Graphs as Probabilistic Models Yongyi Mao, Frank R. Kschischang, Brendan J. Frey

Decision Making for Symbolic Probability Phan Hong Giang, Sathyakama Sandilya

Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters Peter Hooper

Discretized Approximations for POMDP with Average Cost Huizhen Yu, Dimitri P. Bertsekas

Dynamic Programming for Structured Continuous Markov Decision Problems Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, Richard Washington

Dynamical Systems Trees Andrew G. Howard, Tony Jebara

Evidence-Invariant Sensitivity Bounds Silja Renooij, Linda C. van der Gaag

Exploiting First-Order Regression in Inductive Policy Selection Charles Gretton, Sylvie Thiébaux

Exponential Families for Conditional Random Fields Yasemin Altun, Alexander J. Smola, Thomas Hofmann

Factored Latent Analysis for Far-Field Tracking Data Chris Stauffer

From Fields to Trees Firas Hamze, Nando de Freitas

Graph Partition Strategies for Generalized Mean Field Inference Eric P. Xing, Michael I. Jordan

Heuristic Search Value Iteration for POMDPs Trey Smith, Reid G. Simmons

Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials Barry R. Cobb, Prakash P. Shenoy

Identifying Conditional Causal Effects Jin Tian

Iterative Conditional Fitting for Gaussian Ancestral Graph Models Mathias Drton, Thomas S. Richardson

Joint Discovery of Haplotype Blocks and Complex Trait Associations from SNP Sequences Nebojsa Jojic, Vladimir Jojic, David Heckerman

Learning Diagnostic Policies from Examples by Systematic Search Valentina Bayer Zubek

Linear Contour Learning: A Method for Supervised Dimension Reduction Bing Li, Hongyuan Zha, Francesca Chiaromonte

Maximum Entropy for Collaborative Filtering C. Lawrence Zitnick, Takeo Kanade

Metrics for Finite Markov Decision Processes Norm Ferns, Prakash Panangaden, Doina Precup

Mixtures of Deterministic-Probabilistic Networks and Their AND/OR Search Space Rina Dechter, Robert Mateescu

MOB-ESP and Other Improvements in Probability Estimation Rodney D. Nielsen

Modeling Waveform Shapes with Random E Ects Segmental Hidden Markov Models Seyoung Kim, Padhraic Smyth, Stefan Luther

Monotonicity in Bayesian Networks Linda C. van der Gaag, Hans L. Bodlaender, A. J. Feelders

On Finding Minimal W-Cutset Bozhena Bidyuk, Rina Dechter

On Modeling Profiles Instead of Values Alon Orlitsky, Narayana P. Santhanam, Krishnamurthy Viswanathan, Junan Zhang

On the Choice of Regions for Generalized Belief Propagation Max Welling

On-Line Prediction with Kernels and the Complexity Approximation Principle Alex Gammerman, Yuri Kalnishkan, Vladimir Vovk

PAC-Learning Bounded Tree-Width Graphical Models Mukund Narasimhan, Jeff A. Bilmes

Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in Ludmila I. Kuncheva, Christopher J. Whitaker, Peter D. Cockcroft, Z. S. J. Hoare

Predictive State Representations: A New Theory for Modeling Dynamical Systems Satinder Singh, Michael R. James, Matthew R. Rudary

Probabilistic Index Maps for Modeling Natural Signals Nebojsa Jojic, Yaron Caspi, Manuel Reyes-Gomez

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitat Fábio Gagliardi Cozman, Cassio Polpo de Campos, Jaime Shinsuke Ide, José Carlos Ferreira da Rocha

Recovering Articulated Object Models from 3D Range Data Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun

Region-Based Incremental Pruning for POMDPs Zhengzhu Feng, Shlomo Zilberstein

Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty Nathanael Hyafil, Craig Boutilier

Reputation Systems: An Axiomatic Approach Moshe Tennenholtz

Robust Probabilistic Inference in Distributed Systems Mark A. Paskin, Carlos Guestrin

Robustness of Causal Claims Judea Pearl

Selection of Identifiability Criteria for Total Effects by Using Path Diagrams Manabu Kuroki, Zhihong Cai

Sensitivity Analysis in Bayesian Networks: From Single to Multiple Parameters Hei Chan, Adnan Darwiche

Sequential Information Elicitation in Multi-Agent Systems Rann Smorodinsky, Moshe Tennenholtz

Similarity-Driven Cluster Merging Method for Unsupervised Fuzzy Clustering Xuejian Xiong, Kap Luk Chan

Solving Factored MDPs with Continuous and Discrete Variables Carlos Guestrin, Milos Hauskrecht, Branislav Kveton

Stable Independance and Complexity of Representation Peter R. de Waal, Linda C. van der Gaag

The Author-Topic Model for Authors and Documents Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth

The Minimum Information Principle for Discriminative Learning Amir Globerson, Naftali Tishby

Using Arguments for Making Decisions: A Possibilistic Logic Approach Leila Amgoud, Henri Prade

Variational Chernoff Bounds for Graphical Models Pradeep Ravikumar, John D. Lafferty

When Ignorance Is Bliss Peter Grünwald, Joseph Y. Halpern