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AI
2002
Springer
13 years 7 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
BMCBI
2004
102views more  BMCBI 2004»
13 years 7 months ago
Detection of transposable elements by their compositional bias
Background: Transposable elements (TE) are mobile genetic entities present in nearly all genomes. Previous work has shown that TEs tend to have a different nucleotide composition ...
Olivier Andrieu, Anna-Sophie Fiston, Dominique Anx...
CI
2004
116views more  CI 2004»
13 years 7 months ago
Solution Generation with Qualitative Models of Preferences
We consider automated decision aids that help users select the best solution from a large set of options. For such tools to successfully accomplish their task, eliciting and repre...
Boi Faltings, Marc Torrens, Pearl Pu
CORR
2002
Springer
123views Education» more  CORR 2002»
13 years 7 months ago
Survey propagation: an algorithm for satisfiability
: We study the satisfiability of randomly generated formulas formed by M clauses of exactly K literals over N Boolean variables. For a given value of N the problem is known to be m...
Alfredo Braunstein, Marc Mézard, Riccardo Z...
ALGORITHMICA
1998
103views more  ALGORITHMICA 1998»
13 years 7 months ago
On Bayes Methods for On-Line Boolean Prediction
We examine a general Bayesian framework for constructing on-line prediction algorithms in the experts setting. These algorithms predict the bits of an unknown Boolean sequence usin...
Nicolò Cesa-Bianchi, David P. Helmbold, San...