Genetic Transfer Learning

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Küçük Resim

Tarih

2010

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

PERGAMON-ELSEVIER SCIENCE LTD

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

Transfer learning is a method which aims to improve "related" tasks performance. Transfer learning tries to use information gained from related tasks solutions to improve performance of learning strategy. Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the training and testing problems have different distributions or features (Pan, Kwok, & Yang, 2008). In this paper we have used transfer learning to improve performance of genetic algorithms.

Açıklama

Anahtar Kelimeler

Transfer Learning, Genetic Algorithms, Learning to Learn

Kaynak

Expert Systems With Applications

WoS Q Değeri

Q1

Scopus Q Değeri

Q1

Cilt

37

Sayı

10

Künye

Koçer, B., Arslan, A., (2010). Genetic Transfer Learning. Expert Systems with Applications, 37(10), 6997-7002. DOI:10.1016/j.eswa.2010.03.019