Rule extraction for transfer learning

Lisa Torrey, Jude Shavlik, Trevor Walker, Richard Maclin

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

This chapter discusses transfer learning, which is one practical application of rule extraction. In transfer learning, information from one learning experience is applied to speed up learning in a related task. The chapter describes several techniques for transfer learning in SVM-basedreinforcement learning, and shows results from a case study.

Original languageEnglish (US)
Title of host publicationRule Extraction from Support Vector Machines
PublisherSpringer- Verlag
Pages67-82
Number of pages16
ISBN (Print)9783540753896
DOIs
StatePublished - Jan 1 2008
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume80
ISSN (Print)1860-949X

Cite this

Torrey, L., Shavlik, J., Walker, T., & Maclin, R. (2008). Rule extraction for transfer learning. In Rule Extraction from Support Vector Machines (pp. 67-82). (Studies in Computational Intelligence; Vol. 80). Springer- Verlag. https://doi.org/10.1007/978-3-540-75390-2_3