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 language||English (US)|
|Title of host publication||Rule Extraction from Support Vector Machines|
|Number of pages||16|
|State||Published - Jan 1 2008|
|Name||Studies in Computational Intelligence|