Genetic transfer learning

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 do...

Full description

Saved in:
Bibliographic Details
Published in:Expert systems with applications 2010-10, Vol.37 (10), p.6997-7002
Main Authors: Koçer, Barış, Arslan, Ahmet
Format: Article
Language:English
Subjects:
Expert systems
Genetic algorithms
Genetics
Learning
Learning to learn
Performance enhancement
Strategy
Tasks
Training
Transfer learning
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2010.03.019