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ICML
2009
IEEE
16 years 7 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
SARA
2009
Springer
16 years 23 days ago
Automatically Enhancing Constraint Model Instances during Tailoring
Tailoring solver-independent constraint instances to target solvers is an important component of automated constraint modelling. We augment the tailoring process by a set of enhan...
Andrea Rendl, Ian Miguel, Ian P. Gent, Christopher...
CP
2003
Springer
15 years 11 months ago
Propagating N-Ary Rigid-Body Constraints
In this paper, we present an algorithm to propagate an n-ary constraint (with n greater than 2) specifying the relative positions of points in a three-dimensional rigid group. The ...
Ludwig Krippahl, Pedro Barahona
154
Voted
FMOODS
2007
15 years 7 months ago
Model Checking of Extended OCL Constraints on UML Models in SOCLe
We present the first tool that offers dynamic verification of extended traints on UML models. It translates a UML model into an Abstract State (ASM) which is transformed by an AS...
John Mullins, Raveca Oarga
CORR
2006
Springer
112views Education» more  CORR 2006»
15 years 6 months ago
High-level synthesis under I/O Timing and Memory constraints
The design of complex Systems-on-Chips implies to take into account communication and memory access constraints for the integration of dedicated hardware accelerator. In this paper...
Philippe Coussy, Gwenolé Corre, Pierre Bome...