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» Using Gaussian Processes to Optimize Expensive Functions
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ICIP
2009
IEEE
14 years 10 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
CIKM
2010
Springer
13 years 7 months ago
Query optimization for ontology-based information integration
In recent years, there has been an explosion of publicly available RDF and OWL data sources. In order to effectively and quickly answer queries in such an environment, we present...
Yingjie Li, Jeff Heflin
GECCO
2011
Springer
270views Optimization» more  GECCO 2011»
13 years 14 days ago
Geometric surrogate-based optimisation for permutation-based problems
In continuous optimisation, surrogate models (SMs) are used when tackling real-world problems whose candidate solutions are expensive to evaluate. In previous work, we showed that...
Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon
ICCBR
2007
Springer
14 years 3 months ago
Using Cases Utility for Heuristic Planning Improvement
Current efficient planners employ an informed search guided by a heuristic function that is quite expensive to compute. Thus, ordering nodes in the search tree becomes a key issue,...
Tomás de la Rosa, Angel García Olaya...
SIGMETRICS
2006
ACM
128views Hardware» more  SIGMETRICS 2006»
14 years 2 months ago
GPS scheduling: selection of optimal weights and comparison with strict priorities
We consider a system with two service classes with heterogeneous traffic characteristics and Quality-of-Service requirements. The available bandwidth is shared between the two tra...
Pascal Lieshout, Michel Mandjes, Sem C. Borst