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FMSD
2006
103views more  FMSD 2006»
13 years 7 months ago
Compositional SCC Analysis for Language Emptiness
We propose a refinement approach to language emptiness, which is based on the enumeration and the successive refinements of SCCs on over-approximations of the exact system. Our alg...
Chao Wang, Roderick Bloem, Gary D. Hachtel, Kavita...
RSKT
2009
Springer
14 years 2 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao
PAKDD
2009
ACM
157views Data Mining» more  PAKDD 2009»
14 years 5 days ago
Analysis of Variational Bayesian Matrix Factorization
Abstract. Recently, the variational Bayesian approximation was applied to probabilistic matrix factorization and shown to perform very well in experiments. However, its good perfor...
Shinichi Nakajima, Masashi Sugiyama
IJAR
2008
99views more  IJAR 2008»
13 years 7 months ago
Unifying practical uncertainty representations. II: Clouds
There exist many tools for capturing imprecision in probabilistic representations. Among them are random sets, possibility distributions, probability intervals, and the more recen...
Sébastien Destercke, Didier Dubois, Eric Ch...
NIPS
2008
13 years 9 months ago
Structured ranking learning using cumulative distribution networks
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
Jim C. Huang, Brendan J. Frey