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ICML
2009
IEEE
14 years 10 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
CP
2009
Springer
14 years 10 months ago
Modelling Equidistant Frequency Permutation Arrays: An Application of Constraints to Mathematics
Equidistant Frequency Permutation Arrays are combinatorial objects of interest in coding theory. A frequency permutation array is a type of constant composition code in which each ...
Sophie Huczynska, Paul McKay, Ian Miguel, Peter Ni...
ICPR
2008
IEEE
14 years 3 months ago
Medical image segmentation via min s-t cuts with sides constraints
Graph cut algorithms (i.e., min s-t cuts) [3][10][15] are useful in many computer vision applications. In this paper we develop a formulation that allows the addition of side cons...
Jiun-Hung Chen, Linda G. Shapiro
AICCSA
2006
IEEE
95views Hardware» more  AICCSA 2006»
14 years 3 months ago
DEPICT: A High-Level Formal Language For Modeling Constraint Satisfaction Problems
: The past decade witnessed rapid development of constraint satisfaction technologies, where algorithms are now able to cope with larger and harder problems. However, owing to the ...
Abdulwahed M. Abbas, Edward P. K. Tsang, Ahmad H. ...
CP
2005
Springer
14 years 2 months ago
Towards an Optimal CNF Encoding of Boolean Cardinality Constraints
We consider the problem of encoding Boolean cardinality constraints in conjunctive normal form (CNF). Boolean cardinality constraints are formulae expressing that at most (resp. at...
Carsten Sinz