Conflict-free incremental learning

Authors:
Rong-Lei Sun
Affiliations:
The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China
Venue:
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

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Abstract

Most machine learning algorithms are essentially generalized learning schemes. When used incrementally, conflict between the concepts already learned and the new events to be learned need be eliminated. This paper presents a new incremental learning scheme that divides induction into two phases: incrementally accurate learning and generalization. The new learning scheme is conflict-free thus it is suitable for incremental induction.