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ECML
2007
Springer
14 years 2 months ago
Optimizing Feature Sets for Structured Data
Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...
Ulrich Rückert, Stefan Kramer
ECAI
2008
Springer
13 years 10 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
CP
2007
Springer
14 years 2 months ago
An Integrated White+Black Box Approach for Designing and Tuning Stochastic Local Search
Abstract. Stochastic Local Search (SLS) is a simple and effective paradigm for attacking a variety of Combinatorial (Optimization) Problems (COP). However, it is often non-trivial...
Steven Halim, Roland H. C. Yap, Hoong Chuin Lau
INFORMATICALT
2002
91views more  INFORMATICALT 2002»
13 years 8 months ago
Bayesian Heuristic Approach to Scheduling
Abstract. Real life scheduling problems are solved by heuristics with parameters defined by experts, as usual. In this paper a new approach is proposed where the parameters of vari...
Jonas Mockus
UAI
2004
13 years 10 months ago
Bidding under Uncertainty: Theory and Experiments
This paper describes a study of agent bidding strategies, assuming combinatorial valuations for complementary and substitutable goods, in three auction environments: sequential au...
Amy R. Greenwald, Justin A. Boyan