Adaptive features of machine learning methods

0410965 20240103182252.120060210235959.9 0-7803-7602-1 Adaptive features of machine learning methods Varna IEEE 2002 4 s. First International IEEE Symposium Intelligent Systems. Proceedings40-43 adaptivity machine learning incremental learning cav_un_auth*0101068 Berka Petr UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. 09N CEZ:AV0Z1075907 This paper gives a survey of (symbolic) machine learning methods, that exhibit significant features of adaptivity. The paper discussed incremental learning, learning in dynamically changing domains, knowledge integration, theory revision, case based reasoning and inductive logic programming. cav_un_auth*0212980 International IEEE Symposium Intelligent Systems /1./ Varna BG 10.09.2002-12.09.2002 JD MTR http://hdl.handle.net/11104/0131052 UTIA-B 20020179 2002 2002 Varna IEEE 0-7803-7602-1 First International IEEE Symposium Intelligent Systems. Proceedings 40 43