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IJAR
2006
118views more  IJAR 2006»
13 years 8 months ago
Learning Bayesian network parameters under order constraints
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
A. J. Feelders, Linda C. van der Gaag
CORR
2012
Springer
188views Education» more  CORR 2012»
12 years 4 months ago
A Logical Characterization of Constraint-Based Causal Discovery
We present a novel approach to constraintbased causal discovery, that takes the form of straightforward logical inference, applied to a list of simple, logical statements about ca...
Tom Claassen, Tom Heskes
SAT
2009
Springer
124views Hardware» more  SAT 2009»
14 years 3 months ago
Cardinality Networks and Their Applications
We introduce Cardinality Networks, a new CNF encoding of cardinality constraints. It improves upon the previously existing encodings such as the sorting networks of [ES06] in that ...
Roberto Asín, Robert Nieuwenhuis, Albert Ol...
ISPD
1998
ACM
192views Hardware» more  ISPD 1998»
14 years 1 months ago
On convex formulation of the floorplan area minimization problem
It is shown that the oorplan area minimization problem can be formulated as a convex programming problem with the numbers of variables and constraints signi cantly less than those...
Temo Chen, Michael K. H. Fan
AAAI
2007
13 years 11 months ago
Using Expectation Maximization to Find Likely Assignments for Solving CSP's
We present a new probabilistic framework for finding likely variable assignments in difficult constraint satisfaction problems. Finding such assignments is key to efficient sea...
Eric I. Hsu, Matthew Kitching, Fahiem Bacchus, She...