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NIPS
2008
13 years 10 months ago
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
Shay B. Cohen, Kevin Gimpel, Noah A. Smith
ISSS
2002
IEEE
106views Hardware» more  ISSS 2002»
14 years 1 months ago
Modeling Assembly Instruction Timing in Superscalar Architectures
This paper proposes an original model of the execution time of assembly instructions in superscalar architectures. The approach is based on a rigorous mathematical model and provi...
William Fornaciari, Vito Trianni, Carlo Brandolese...
BMCBI
2010
178views more  BMCBI 2010»
13 years 9 months ago
Applications of a formal approach to decipher discrete genetic networks
Background: A growing demand for tools to assist the building and analysis of biological networks exists in systems biology. We argue that the use of a formal approach is relevant...
Fabien Corblin, Eric Fanchon, Laurent Trilling
INFORMS
1998
150views more  INFORMS 1998»
13 years 8 months ago
Branch and Infer: A Unifying Framework for Integer and Finite Domain Constraint Programming
constraint abstractions into integer programming, and to discuss possible combinations of the two approaches. Combinatorial problems are ubiquitous in many real world applications ...
Alexander Bockmayr, Thomas Kasper
CVPR
2008
IEEE
14 years 11 months ago
Multiple-instance ranking: Learning to rank images for image retrieval
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Yang Hu, Mingjing Li, Nenghai Yu