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ECAI
2008
Springer
13 years 11 months ago
A Decomposition Technique for Max-CSP
The objective of the Maximal Constraint Satisfaction Problem (Max-CSP) is to find an instantiation which minimizes the number of constraint violations in a constraint network. In t...
Hachemi Bennaceur, Christophe Lecoutre, Olivier Ro...
ECAI
2010
Springer
13 years 11 months ago
Learning action effects in partially observable domains
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Kira Mourão, Ronald P. A. Petrick, Mark Ste...
AAAI
2011
12 years 9 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...
CP
2003
Springer
14 years 3 months ago
Using Constraints for Exploring Catalogs
Abstract. Searching objects within a catalog is a problem of increasing importance, as the general public has access to increasing volumes of data. Constraint programming has addre...
François Laburthe, Yves Caseau
NCA
2005
IEEE
14 years 3 months ago
Providing Hard Real-Time Guarantees in Context-Aware Applications: Challenges and Requirements
Context-aware applications rely on the ability to perceive the state of the surrounding environment. In this paper, we address a class of such applications where real-time guarant...
Malika Boulkenafed, Barbara Hughes, René Me...