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» Getting the Most Out of Ensemble Selection
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GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
13 years 7 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
JMLR
2006
92views more  JMLR 2006»
13 years 6 months ago
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Anders Bergkvist, Peter Damaschke, Marcel Lüt...
CP
2004
Springer
13 years 11 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
ESWS
2009
Springer
14 years 24 days ago
Improving Ontology Matching Using Meta-level Learning
Despite serious research efforts, automatic ontology matching still suffers from severe problems with respect to the quality of matching results. Existing matching systems trade-of...
Kai Eckert, Christian Meilicke, Heiner Stuckenschm...
SEMWEB
2007
Springer
14 years 10 days ago
Cantabria Cultural Heritage Semantic Portal
This document describes an ongoing commercial project that aims to model the cultural heritage domain in an ontology, containing data from eleven types of heritages, from bibliogra...
Francisca Hernández, Luis Rodrigo, Jes&uacu...