Rule extraction for transfer learning

Lisa Torrey, Jude Shavlik, Trevor Walker, Richard Maclin

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations


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
Number of pages16
ISBN (Print)9783540753896
StatePublished - Jan 1 2008
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
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.