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Name:	UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 2009
URL:	http://uai.sis.pitt.edu/displayArticles.jsp?mmnu=1smnu=1proceeding_id=25
DBLP:	db/conf/uai/uai2009.html
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Show	Title	Venue	Rating	Date
	Conference paper Daniil Ryabko. Characterizing predictable classes of processes.	UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 2009	(0)	2009
	Conference paper Kenichi Kurihara, Shu Tanaka, Seiji Miyashita. Quantum Annealing for Clustering.	UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 2009	(0)	2009
	Conference paper Thomas Richardson. A factorization criterion for acyclic directed mixed graphs.	UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 2009	(0)	2009
	Conference paper Benjamin M. Marlin, Mark W. Schmidt, Kevin P. Murphy. Group Sparse Priors for Covariance Estimation.	UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 2009	(0)	2009
	Conference paper Vincent Conitzer. Prediction Markets, Mechanism Design, and Cooperative Game Theory.	UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 2009	(0)	2009
	Conference paper Miroslav Dudík, Geoffrey J. Gordon. A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games.	UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 2009	(0)	2009
	Conference paper Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh. Ordinal Boltzmann Machines for Collaborative Filtering.	UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 2009	(0)	2009
	Conference paper Daniel Andrade, Bernhard Sick. Lower Bound Bayesian Networks - An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian Networks.	UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 2009	(0)	2009
	Conference paper Mark Crowley, John Nelson, David Poole. Seeing the Forest Despite the Trees: Large Scale Spatial-Temporal Decision Making.	UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 2009	(0)	2009
	Conference paper Jun Liu, Shuiwang Ji, Jieping Ye. Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization.	UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 2009	(0)	2009

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