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» Towards benchmarking of AMQP
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GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
15 years 1 months ago
PSO and multi-funnel landscapes: how cooperation might limit exploration
Particle Swarm Optimization (PSO) is a population-based optimization method in which search points employ a cooperative strategy to move toward one another. In this paper we show ...
Andrew M. Sutton, Darrell Whitley, Monte Lunacek, ...
85
Voted
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 27 days ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
98
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CIKM
2008
Springer
14 years 11 months ago
Structure feature selection for graph classification
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
Hongliang Fei, Jun Huan
CF
2005
ACM
14 years 11 months ago
Balancing clustering-induced stalls to improve performance in clustered processors
Clustered processors lose performance as a result of clusteringinduced stalls. Such stalls are the result of distributed resources and cluster communication delays. Our performanc...
Amirali Baniasadi
CIVR
2008
Springer
127views Image Analysis» more  CIVR 2008»
14 years 11 months ago
Performance evaluation of relevance feedback methods
In this paper we review the evaluation of relevance feedback methods for content-based image retrieval systems. We start out by presenting an overview of current common practice, ...
Mark J. Huiskes, Michael S. Lew