3:00	Poster Session II
	Probabilistic Reasoning about Actions in Nonmonotonic Causal Theories Thomas Eiter, Thomas Lukasiewicz
	Parametric Dependability Analysis through Probabilistic Horn Abduction Luigi Portinale, Andrea Bobbio, Stefania Montani
	New Advances in Inference by Recursive Conditioning David Allen, Adnan Darwiche
	Updating with incomplete observations Gert De Cooman, Marco Zaffalon
	An Importance Sampling Algorithm Based on Evidence Pre-propagation Changhe Yuan, Marek Druzdzel
	Boltzmann Machine Learning with the Latent Maximum Entropy Principle Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao
	Inference in Polytrees with Sets of Probabilities José Carlos Rocha, Fabio Cozman
	Reasoning about Bayesian Network Classifiers Hei Chan, Adnan Darwiche
	Using the structure of d-connecting paths as a qualitative measure of the strength of dependence Sanjay Chaudhuri, Thomas Richardson
	Active Collaborative Filtering Craig Boutilier, Richard Zemel, Benjamin Marlin
	Learning Generative Models of Similarity Matrices Romer Rosales, Brendan Frey
	Symbolic Generalization for On-line Planning Zhengzhu Feng, Eric Hansen, Shlomo Zilberstein
	Factor Graphs: A Unification of Directed and Undirected Graphical Models Brendan Frey
	Sufficient Dimensionality Reduction with Side Information Amir Globerson, Gal Chechik, Naftali Tishby
	Markov Random Walk Representations with Continuous Distributions Chen-Hsiang Yeang, Martin Szummer
	Monte-Carlo optimizations for resource allocation problems in stochastic networks Milos Hauskrecht, Tomas Singliar
	Systematic vs. Non-systematic Algorithms for Solving the MPE Task Radu Marinescu, Kalev Kask, Rina Dechter
	Probabilistic models for joint clustering and time-warping of multidimensional curves Darya Chudova, Scott Gaffney, Padhraic Smyth
	Practically Perfect Christopher Meek, Max Chickering
	Optimal Limited Contingency Planning Nicolas Meuleau, David Smith
	Learning Measurement Models for Unobserved Variables Ricardo Silva, Richard Scheines, Clark Glymour, Peter Spirtes
	Budgeted Learning, Part II: The Naive-Bayes Case Daniel Lizotte, omid madani, Russell Greiner
	Value Elimination: Bayesian Inference via Backtracking Search Fahiem Bacchus, Shannon Dalmao, Toniann Pitassi
	A Simple Insight into Properties of Iterative Belief Propagation Rina Dechter, Robert Mateescu
	A Decision Making Perspective on Web Question Answering David Azari, Eric Horvitz, Susan Dumais, Eric Brill
	On Triangulating Dynamic Graphical Models Jeff Bilmes, Chris Bartels