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» Comparing the Performance of Database Selection Algorithms
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ICML
2000
IEEE
16 years 3 months ago
Meta-Learning by Landmarking Various Learning Algorithms
Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only statistics-inspired measures of the data as a sou...
Bernhard Pfahringer, Hilan Bensusan, Christophe G....
111
Voted
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
15 years 8 months ago
Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics
In this study, we introduce two improved assessment metrics of multiobjective optimizers, Nondominated Ratio and Spacing Distribution, and analyze their rationality and validity. ...
Maoguo Gong, Licheng Jiao, Haifeng Du, Ronghua Sha...
TREC
2008
15 years 4 months ago
Distributed Multisearch and Resource Selection for the TREC Million Query Track
A distributed information retrieval system with resourceselection and resultset merging capability was used to search subsets of the GOV2 document corpus for the 2008 TREC Million...
Christopher T. Fallen, Gregory B. Newby, Kylie McC...
GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
15 years 7 months ago
Adaptive strategy selection in differential evolution
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
Wenyin Gong, Álvaro Fialho, Zhihua Cai
SCOPES
2004
Springer
15 years 8 months ago
Instruction Selection for Compilers that Target Architectures with Echo Instructions
Echo Instructions have recently been introduced to allow embedded processors to provide runtime decompression of LZ77-compressed programs at a minimal hardware cost compared to oth...
Philip Brisk, Ani Nahapetian, Majid Sarrafzadeh