Adaptive features of machine learning methods

This paper gives a survey of (symbolic) machine learning methods, that exhibit significant features of adaptivity. The paper discusses incremental learning, learning in dynamically changing domains, knowledge integration, theory revision, case based reasoning and inductive logic programming.

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Bibliographic Details
Main Author: Berka, P.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive systems
Artificial intelligence
Data mining
Decision trees
Inference algorithms
Iterative algorithms
Learning systems
Logic programming
Machine learning
Stress
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Description
Summary:This paper gives a survey of (symbolic) machine learning methods, that exhibit significant features of adaptivity. The paper discusses incremental learning, learning in dynamically changing domains, knowledge integration, theory revision, case based reasoning and inductive logic programming.
DOI:10.1109/IS.2002.1042571