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GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
14 years 9 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
ISMIR
2005
Springer
154views Music» more  ISMIR 2005»
15 years 2 months ago
Combining D2K and JGAP for Efficient Feature Weighting for Classification Tasks in Music Information Retrieval
Music classification continues to be an important component of music information retrieval research. An underutilized tool for improving the performance of classifiers is feature ...
Rebecca Fiebrink, Cory McKay, Ichiro Fujinaga
IPPS
2005
IEEE
15 years 3 months ago
MaTCH : Mapping Data-Parallel Tasks on a Heterogeneous Computing Platform Using the Cross-Entropy Heuristic
We propose in this paper a heuristic for mapping a set of interacting tasks of a parallel application onto a heterogeneous computing platform such as a computational grid. Our nov...
Soumya Sanyal, Sajal K. Das
82
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GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
15 years 3 months ago
Parallel genetic algorithm: assessment of performance in multidimensional scaling
Visualization of multidimensional data by means of Multidimensional Scaling (MDS) is a popular technique of exploratory data analysis widely usable, e.g. in analysis of bio-medica...
Antanas Zilinskas, Julius Zilinskas
ICPR
2008
IEEE
15 years 3 months ago
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
Fengqin Yang, Changhai Zhang, Tieli Sun