Rule Extraction for Transfer Learning

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Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin

Published: 01 Jan 2008, Last Modified: 16 Feb 2025Rule Extraction from Support Vector Machines 2008EveryoneRevisionsBibTeXCC BY-SA 4.0
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.