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GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
16 years 16 days ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
AUSAI
2007
Springer
15 years 10 months ago
Advances in Local Search for Satisfiability
In this paper we describe a stochastic local search (SLS) procedure for finding satisfying models of satisfiable propositional formulae. This new algorithm, gNovelty+ , draws on th...
Duc Nghia Pham, John Thornton, Charles Gretton, Ab...
CIKM
2009
Springer
15 years 9 months ago
Effective, design-independent XML keyword search
Keyword search techniques that take advantage of XML structure make it very easy for ordinary users to query XML databases, but current approaches to processing these queries rely...
Arash Termehchy, Marianne Winslett
ECAI
2008
Springer
15 years 8 months ago
Structure Learning of Markov Logic Networks through Iterated Local Search
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
Marenglen Biba, Stefano Ferilli, Floriana Esposito
AAAI
2010
15 years 7 months ago
Dealing with Infinite Loops, Underestimation, and Overestimation of Depth-First Proof-Number Search
Depth-first proof-number search (df-pn) is powerful AND/OR tree search to solve positions in games. However, df-pn has a notorious problem of infinite loops when applied to domain...
Akihiro Kishimoto