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 - 2008

Publication series

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


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