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GPEM
2008
98views more  GPEM 2008»
15 years 2 months ago
Sporadic model building for efficiency enhancement of the hierarchical BOA
Efficiency enhancement techniques--such as parallelization and hybridization--are among the most important ingredients of practical applications of genetic and evolutionary algori...
Martin Pelikan, Kumara Sastry, David E. Goldberg
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 2 months ago
Model compression
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
TNN
2010
216views Management» more  TNN 2010»
14 years 8 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
ISPDC
2008
IEEE
15 years 8 months ago
FPGA Implementations of a Parallel Associative Processor with Multi-Comparand Multi-Search Operations
Multi–comparand associative processors are efficient in parallel processing of complex search problems that arise from many application areas including computational geometry, ...
Zbigniew Kokosinski, Bartlomiej Malus
GECCO
2010
Springer
194views Optimization» more  GECCO 2010»
15 years 6 months ago
Fitting multi-planet transit models to photometric time-data series by evolution strategies
In this paper we present the application of an evolution strategy to the problem of detecting multi-planet transit events in photometric time-data series. Planetary transits occur...
Andreas M. Chwatal, Günther R. Raidl, Michael...