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ICML
2009
IEEE
14 years 9 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
ICML
2009
IEEE
14 years 9 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
WWW
2009
ACM
14 years 9 months ago
Automatic web service composition with abstraction and refinement
ion and Refinement Hyunyoung Kil Wonhong Nam Dongwon Lee The Pennsylvania State University, University Park, PA 16802, USA {hykil, wnam, dongwon}@psu.edu The behavioral descriptio...
Hyunyoung Kil, Wonhong Nam, Dongwon Lee
CP
2009
Springer
14 years 9 months ago
Approximating Weighted Max-SAT Problems by Compensating for Relaxations
We introduce a new approach to approximating weighted Max-SAT problems that is based on simplifying a given instance, and then tightening the approximation. First, we relax its str...
Arthur Choi, Trevor Standley, Adnan Darwiche
ICALP
2009
Springer
14 years 9 months ago
Forward Analysis for WSTS, Part II: Complete WSTS
Abstract. We describe a simple, conceptual forward analysis procedure for complete WSTS S. This computes the clover of a state s0, i.e., a finite description of the closure of the ...
Alain Finkel, Jean Goubault-Larrecq