3:30	Poster Session I
	A Tractable Probabilistic Model for Projection Pursuit Max Welling, Richard Zemel, Geoffrey Hinton
	A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence Mathias Drton, Thomas Richardson
	Stochastic complexity of Bayesian networks Keisuke Yamazaki, Sumio Watanabe
	On Local Optima in Learning Bayesian Networks Jens Dalgaard Nielsen, Tomas Kocka, Jose Manuel Peņa
	A Distance-Based Branch and Bound Feature Selection Algorithm Ari Frank, Dan Geiger, Zohar Yakhini
	Decision Making with Partially Consonant Belief Functions Phan H. Giang, Prakash Shenoy
	Robust Independence Testing for Constraint-Based Learning of Causal Structure Denver Dash, Marek Druzdzel
	CLP(BN): Constraint Logic Programming for Probabilistic Knowledge Santos Costa Vitor, David Page, James Cussens, Maleeha Qazi
	Efficient Inference in Large Discrete Domains Rita Sharma, David Poole
	Solving MAP Exactly using Systematic Search James Park, Adnan Darwiche
	Dealing with uncertainty in fuzzy inductive reasoning methodology Francisco Mugica, Angela Nebot, Pilar Gomez
	LAYERWIDTH: Analysis of a New Metric for Directed Acyclic Graphs Mark Hopkins
	Strong Faithfulness and Uniform Consistency in Causal Inference Jiji Zhang, Peter Spirtes
	Locally Weighted Naive Bayes Eibe Frank, Mark Hall, Bernhard Pfahringer
	Phase Transition of Tractability in Constraint Satisfaction and Bayesian Network Inference Yong Gao
	On the Convergence of Bound Optimization Algorithms Ruslan Salakhutdinov, Sam Roweis, Zoubin Ghahramani
	Structure-Based Causes and Explanations in the Independent Choice Logic Alberto Finzi, Thomas Lukasiewicz
	Automated Analytic Asymptotic Evaluation of the Marginal Likelihood for Latent Models Dmitry Rusakov, Dan Geiger
	An Axiomatic Approach to Robustness in Search Problems with Multiple Scenarios Patrice Perny, Olivier Spanjaard
	Learning Riemannian Metrics Guy Lebanon
	Exploiting Locality in Searching the Web Joel Young, Thomas Dean
	Preference-based Graphic Models for Collaborative Filtering Rong Jin, Luo Si, Chengxiang Zhai
	Monte Carlo Matrix Inversion Policy Evaluation Fletcher Lu, Dale Schuurmans
	Bayesian Hierarchical Mixtures of Experts Markus Svensen, Christopher Bishop
	Toward a possibilistic handling of partially ordered information Sylvain Lagrue, Salem Benferhat, Odile Papini
	Incremental Compilation of Bayesian networks Julia Flores, Jose Gamez, Kristian G. Olesen