Integrating similarity-based and explanation-based learning
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Authors
Oosthuizen, GD
Avenant, C
Issue Date
1992
Type
Article
Language
en
Keywords
Artificial intelligence , Machine learning
Alternative Title
Abstract
Recently, there have been various attempts to combine the strengths of similarity-based learning (SBL) and explanation-based learning (EBL) in a single learning system. We describe a graph-based learning method called Graph Induction, which is based on the graphical representation of a formal lattice and supports both supervised and unsupervised learning. The method integrates SBL with a weak.form of EBL in such a way that the two mechanisms become totally blended. The result is a unified algorithm with both SBL and EBL involved in each step. The domain theory is generated and/or extended as SBL proceeds and employed immediately, through EBL, to guard further learning and thus control the size of the lattice which otherwise has the potential for increasing exponentially.
Description
Citation
Oosthuizen GD & Avenant C (1992) Integrating similarity-based and explanation-based learning. South African Computer Journal, Number 6, 1992
Publisher
South African Institute of Computer Scientists and Information Technologists
License
Journal
Volume
Issue
PubMed ID
DOI
ISSN
2313-7835