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ECAI
2008
Springer
15 years 25 days 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
15 years 4 days 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...
80
Voted
AAAI
2011
13 years 11 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
15 years 4 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
15 years 4 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...