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» Extracting MUCs from Constraint Networks
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ECAI
2006
Springer
13 years 8 months ago
Extracting MUCs from Constraint Networks
Abstract. We address the problem of extracting Minimal Unsatisfiable Cores (MUCs) from constraint networks. This computationally hard problem has a practical interest in many appli...
Fred Hemery, Christophe Lecoutre, Lakhdar Sais, Fr...
IRI
2006
IEEE
13 years 10 months ago
A new heuristic-based albeit complete method to extract MUCs from unsatisfiable CSPs
When a Constraint Satisfaction Problem (CSP) admits no solution, most current solvers express that the whole search space has been explored unsuccessfully but do not exhibit which...
Éric Grégoire, Bertrand Mazure, C&ea...
RIAO
2000
13 years 5 months ago
Learning for Sequence Extraction Tasks
We consider the application of machine learning techniques for sequence modeling to Information Retrieval (IR) and surface Information Extraction (IE) tasks. We introduce a generi...
Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinar...
CSCLP
2006
Springer
13 years 8 months ago
Extracting Microstructure in Binary Constraint Networks
Abstract. We present algorithms that perform the extraction of partial assignments from binary Constraint Satisfaction Problems without introducing new constraints. They are based ...
Chavalit Likitvivatanavong, Roland H. C. Yap
DSS
2007
113views more  DSS 2007»
13 years 4 months ago
An associate constraint network approach to extract multi-lingual information for crime analysis
International crime and terrorism have drawn increasing attention in recent years. Retrieving relevant information from criminal records and suspect communications is important in...
Christopher C. Yang, Kar Wing Li