215 search results - page 9 / 43 » The deterministic global optimization algorithm DIRECT |
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PODS
2004
ACM
15 years 11 months ago
2004
ACM
Several studies have demonstrated the effectiveness of the wavelet decomposition as a tool for reducing large amounts of data down to compact wavelet synopses that can be used to ...
ACL
2010
14 years 9 months ago
2010
We propose a global algorithm for learning entailment relations between predicates. We define a graph structure over predicates that represents entailment relations as directed ed...
ICML
2005
IEEE
16 years 12 days ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
ASIAMS
2007
IEEE
15 years 6 months ago
2007
IEEE
This paper introduces a modified version of the well known global optimization technique named line search method. The modifications refer to the way in which the direction and th...
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EMO
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...