Table of Contents

• Exponential Families for Conditional Random FieldsYasemin Altun, Alexander J. Smola, Thomas Hofmann. 2-9 [doi]
• Using Arguments for Making Decisions: A Possibilistic Logic ApproachLeila Amgoud, Henri Prade. 10-17 [doi]
• Recovering Articulated Object Models from 3D Range DataDragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun. 18-26 [doi]
• Learning Diagnostic Policies from Examples by Systematic SearchValentina Bayer Zubek. 27-35 [doi]
• Computing Nash Equilibria of Action-Graph GamesNavin A. R. Bhat, Kevin Leyton-Brown. 35-42 [doi]
• On Finding Minimal w-cutsetBozhena Bidyuk, Rina Dechter. 43-50 [doi]
• Compact Value-Function Representations for Qualitative PreferencesRonen I. Brafman, Carmel Domshlak, Tanya Kogan. 51-59 [doi]
• Applying Discrete PCA in Data AnalysisWray L. Buntine, Aleks Jakulin. 59-66 [doi]
• Sensitivity Analysis in Bayesian Networks: From Single to Multiple ParametersHei Chan, Adnan Darwiche. 67-75 [doi]
• A Logic Programming Framework for Possibilistic Argumentation with Vague KnowledgeCarlos Iván Chesñevar, Guillermo Ricardo Simari, Teresa Alsinet, Lluis Godo. 76-84 [doi]
• Hybrid Influence Diagrams Using Mixtures of Truncated ExponentialsBarry R. Cobb, Prakash P. Shenoy. 85-93 [doi]
• Bayesian Biosurveillance of Disease OutbreaksGregory F. Cooper, Denver Dash, John Levander, Weng-Keen Wong, William R. Hogan, Michael Wagner. 94-103 [doi]
• Propositional and Relational Bayesian Networks Associated with Imprecise and QualitatFabio Gagliardi Cozman, Cassio Polpo de Campos, Jaime Shinsuke Ide, José Carlos Ferreira da Rocha. 104-111 [doi]
• Stable Independance and Complexity of RepresentationPeter R. de Waal, Linda C. van der Gaag. 112-119 [doi]
• Mixtures of Deterministic-Probabilistic Networks and their AND/OR Search SpaceRina Dechter, Robert Mateescu. 120-129 [doi]
• Iterative Conditional Fitting for Gaussian Ancestral Graph ModelsMathias Drton, Thomas S. Richardson. 130-137 [doi]
• A Unified framework for Order-of-magnitude Confidence RelationsDidier Dubois, Hélène Fargier. 138-145 [doi]
• Region-Based Incremental Pruning for POMDPsZhengzhu Feng, Shlomo Zilberstein. 146-153 [doi]
• Dynamic Programming for Structured Continuous Markov Decision ProblemsZhengzhu Feng, Richard Dearden, Nicolas Meuleau, Richard Washington. 154-161 [doi]
• Metrics for Finite Markov Decision ProcessesNorm Ferns, Prakash Panangaden, Doina Precup. 162-169 [doi]
• On-line Prediction with Kernels and the Complexity Approximation PrincipleAlexander Gammerman, Yuri Kalnishkan, Vladimir Vovk. 170-176 [doi]
• Algebraic Statistics in Model SelectionLuis David Garcia. 177-184 [doi]
• Decision Making for Symbolic ProbabilityPhan Hong Giang, Sathyakama Sandilya. 185-192 [doi]
• The Minimum Information Principle for Discriminative LearningAmir Globerson, Naftali Tishby. 193-200 [doi]
• A Complete Anytime Algorithm for TreewidthVibhav Gogate, Rina Dechter. 201-208 [doi]
• Bidding under Uncertainty: Theory and ExperimentsAmy R. Greenwald, Justin A. Boyan. 209-216 [doi]
• Exploiting First-Order Regression in Inductive Policy SelectionCharles Gretton, Sylvie Thiébaux. 217-225 [doi]
• When Ignorance is BlissPeter Grünwald, Joseph Y. Halpern. 226-234 [doi]
• Solving Factored MDPs with Continuous and Discrete VariablesCarlos Guestrin, Milos Hauskrecht, Branislav Kveton. 235-242 [doi]
• From Fields to TreesFiras Hamze, Nando de Freitas. 243-250 [doi]
• Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net ParametersPeter Hooper. 251-259 [doi]
• Dynamical Systems TreesAndrew Howard, Tony Jebara. 260-267 [doi]
• Regret Minimizing Equilibria and Mechanisms for Games with Strict Type UncertaintyNathanael Hyafil, Craig Boutilier. 268-277 [doi]
• A Bayesian Approach toward Active Learning for Collaborative FilteringRong Jin, Luo Si. 278-285 [doi]
• Joint Discovery of Haplotype Blocks and Complex Trait Associations from SNP SequencesNebojsa Jojic, Vladimir Jojic, David Heckerman. 286-292 [doi]
• Probabilistic Index Maps for Modeling Natural SignalsNebojsa Jojic, Yaron Caspi, Manuel Reyes-Gomez. 293-300 [doi]
• A Generative Bayesian Model for Aggregating Experts' ProbabilitiesJoseph M. Kahn. 301-308 [doi]
• Modeling Waveform Shapes with Random E ects Segmental Hidden Markov ModelsSeyoung Kim, Padhraic Smyth, Stefan Luther. 309-316 [doi]
• Conditional Chow-Liu Tree Structures for Modeling Discrete-Valued Vector Time SeriesSergey Kirshner, Padhraic Smyth, Andrew Robertson. 317-314 [doi]
• Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie inLudmila I. Kuncheva, Christopher J. Whitaker, Peter D. Cockcroft, Z. S. J. Hoare. 325-332 [doi]
• Selection of Identifiability Criteria for Total Effects by using Path DiagramsManabu Kuroki, Zhihong Cai. 333-340 [doi]
• An Extended Cencov-Campbell Characterization of Conditional Information GeometryGuy Lebanon. 341-345 [doi]
• Linear Contour Learning: A Method for Supervised Dimension ReductionBing Li, Hongyuan Zha, F. Chiaromonte. 346-356 [doi]
• Active Model SelectionOmid Madani, Daniel J. Lizotte, Russell Greiner. 357-365 [doi]
• An Empirical Evaluation of Possible Variations of Lazy PropagationAndres Madsen. 366-373 [doi]
• Convolutional Factor Graphs as Probabilistic ModelsYongyi Mao, Frank R. Kschischang, Brendan J. Frey. 374-381 [doi]
• Case-Factor Diagrams for Structured Probabilistic ModelingDavid A. McAllester, Michael Collins, Fernando Pereira. 382-391 [doi]
• Bayesian Learning in Undirected Graphical Models: Approximate MCMC AlgorithmsIain Murray, Zoubin Ghahramani. 392-399 [doi]
• Ideal Parent Structure Learning for Continuous Variable NetworksIftach Nachman, Gal Elidan, Nir Friedman. 400-409 [doi]
• PAC-learning Bounded Tree-width Graphical ModelsMukund Narasimhan, Jeff A. Bilmes. 410-417 [doi]
• MOB-ESP and other Improvements in Probability EstimationRodney Nielsen. 418-425 [doi]
• On Modeling Profiles Instead of ValuesAlon Orlitsky, Narayana P. Santhanam, Krishnamurthy Viswanathan, Junan Zhang. 426-435 [doi]
• Robust Probabilistic Inference in Distributed SystemsMark A. Paskin, Carlos Guestrin. 436-445 [doi]
• Robustness of Causal ClaimsJudea Pearl. 446-453 [doi]
• A Hierarchical Graphical Model for Record LinkagePradeep D. Ravikumar, William W. Cohen. 454-461 [doi]
• Variational Chernoff Bounds for Graphical ModelsPradeep D. Ravikumar, John D. Lafferty. 462-469 [doi]
• Computing Best-Response Strategies in Infinite Games of Incomplete InformationDaniel M. Reeves, Michael P. Wellman. 470-478 [doi]
• Evidence-invariant Sensitivity BoundsSilja Renooij, Linda C. van der Gaag. 479-486 [doi]
• The Author-Topic Model for Authors and DocumentsMichal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth. 487-494 [doi]
• A New Characterization of Probabilities in Bayesian NetworksLenhart K. Schubert. 495-503 [doi]
• Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete SequencesCosma Rohilla Shalizi, Kristina Lisa Shalizi. 504-511 [doi]
• Predictive State Representations: A New Theory for Modeling Dynamical SystemsSatinder P. Singh, Michael R. James, Matthew R. Rudary. 512-518 [doi]
• Discretized Approximations for POMDP with Average CostHuizhen Yu, Dimitri P. Bertsekas. 519 [doi]
• Heuristic Search Value Iteration for POMDPsTrey Smith, Reid G. Simmons. 520-527 [doi]
• Sequential Information Elicitation in Multi-Agent SystemsRann Smorodinsky, Moshe Tennenholtz. 528-535 [doi]
• Factored Latent Analysis for far-field Tracking DataChris Stauffer. 536-543 [doi]
• Reputation Systems: An Axiomatic ApproachMoshe Tennenholtz. 544-551 [doi]
• ARMA Time-Series Modeling with Graphical ModelsBo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek. 552-560 [doi]
• Identifying Conditional Causal EffectsJin Tian. 561-568 [doi]
• Monotonicity in Bayesian NetworksLinda C. van der Gaag, Hans Leo Bodlaender, A. J. Feelders. 569-576 [doi]
• Convergence and Asymptotic Normality of Variational Bayesian Approximations for ExponBo Wang, D. M. Titterington. 577-584 [doi]
• On the Choice of Regions for Generalized Belief PropagationMax Welling. 585-592 [doi]
• An Integrated, Conditional Model of Information Extraction and Coreference with AppliBen Wellner, Andrew McCallum, Fuchun Peng, Michael Hay. 593-601 [doi]
• Graph Partition Strategies for Generalized Mean Field InferenceEric P. Xing, Michael I. Jordan. 602-610 [doi]
• Similarity-Driven Cluster Merging Method for Unsupervised Fuzzy ClusteringXuejian Xiong, Kap Luk Chan. 611-627 [doi]
• Annealed MAPChanghe Yuan, Tsai-Ching Lu, Marek J. Druzdzel. 628-635 [doi]
• Maximum Entropy for Collaborative FilteringC. Lawrence Zitnick, Takeo Kanade. 636 [doi]