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ADBIS
1999
Springer
104views Database» more  ADBIS 1999»
15 years 3 months ago
Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan
ECML
2003
Springer
15 years 4 months ago
Optimising Performance of Competing Search Engines in Heterogeneous Web Environments
Abstract. Distributed heterogeneous search environments are an emerging phenomenon in Web search, in which topic-specific search engines provide search services, and metasearchers...
Rinat Khoussainov, Nicholas Kushmerick
EGC
2005
Springer
15 years 5 months ago
A Grid-Oriented Genetic Algorithm
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...
PPSN
2010
Springer
14 years 10 months ago
Indirect Encoding of Neural Networks for Scalable Go
Abstract. The game of Go has attracted much attention from the artificial intelligence community. A key feature of Go is that humans begin to learn on a small board, and then incr...
Jason Gauci, Kenneth O. Stanley
IEEEPACT
2002
IEEE
15 years 4 months ago
Predicting Conditional Branches With Fusion-Based Hybrid Predictors
Researchers have studied hybrid branch predictors that leverage the strengths of multiple stand-alone predictors. The common theme among the proposed techniques is a selection mec...
Gabriel H. Loh, Dana S. Henry