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SAT
2004
Springer
97views Hardware» more  SAT 2004»
14 years 2 months ago
Using Lower-Bound Estimates in SAT-Based Pseudo-Boolean Optimization
Linear Pseudo-Boolean constraints offer a much more compact formalism to express significant boolean problems in several areas, ranging from Artificial Intelligence to Electroni...
Vasco M. Manquinho, João P. Marques Silva
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 1 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
ICLP
2010
Springer
14 years 1 months ago
Using Generalized Annotated Programs to Solve Social Network Optimization Problems
Abstract. Reasoning about social networks (labeled, directed, weighted graphs) is becoming increasingly important and there are now models of how certain phenomena (e.g. adoption o...
Paulo Shakarian, V. S. Subrahmanian, Maria Luisa S...
ECAI
2006
Springer
13 years 11 months ago
Solving Optimization Problems with DLL
Propositional satisfiability (SAT) is a success story in Computer Science and Artificial Intelligence: SAT solvers are currently used to solve problems in many different applicati...
Enrico Giunchiglia, Marco Maratea
ECAI
2008
Springer
13 years 11 months ago
Optimizing Causal Link Based Web Service Composition
Automation of Web service composition is one of the most interesting challenges facing the Semantic Web today. Since Web services have been enhanced with formal semantic descriptio...
Freddy Lécué, Alexandre Delteil, Ala...