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IJAR
2010
113views more  IJAR 2010»
13 years 6 months ago
A geometric view on learning Bayesian network structures
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
Milan Studený, Jirí Vomlel, Raymond ...

Book
425views
15 years 6 months ago
Programming Languages: Application and Interpretation
"The book is the textbook for the programming languages course at Brown University, which is taken primarily by third and fourth year undergraduates and beginning graduate (bo...
Shriram Krishnamurthi
VMCAI
2010
Springer
14 years 5 months ago
Shape Analysis with Reference Set Relations
Tracking subset relations between the contents containers on the heap is fundamental to modeling the semantics of many common programing idioms such as applying a function to a sub...
Mark Marron, Rupak Majumdar, Darko Stefanovic, Dee...
ISICA
2007
Springer
14 years 2 months ago
A New Evolutionary Decision Theory for Many-Objective Optimization Problems
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
Zhuo Kang, Lishan Kang, Xiufen Zou, Minzhong Liu, ...
ITP
2010
230views Mathematics» more  ITP 2010»
13 years 10 months ago
On the Formalization of the Lebesgue Integration Theory in HOL
Lebesgue integration is a fundamental concept in many mathematical theories, such as real analysis, probability and information theory. Reported higher-order-logic formalizations o...
Tarek Mhamdi, Osman Hasan, Sofiène Tahar