8016 search results - page 337 / 1604 » On the practical genetic algorithms |
198
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ICB
2007
Springer
16 years 1 months ago
2007
Springer
We present a general biometric hash generation scheme based on vector quantization of multiple feature subsets selected with genetic optimization. The quantization of subsets overc...
220
Voted
ITRE
2005
IEEE
16 years 1 months ago
2005
IEEE
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
177
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GECCO
2005
Springer
16 years 1 months ago
2005
Springer
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
204
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GECCO
2003
Springer
16 years 22 days ago
2003
Springer
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
207
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IICAI
2003
15 years 9 months ago
2003
Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...