Concept learning by example decomposition

DOI10.1080/09528130802386051zbMath1192.68525OpenAlexW1996533010MaRDI QIDQ5306313

Sameer Joshi

Publication date: 8 April 2010

Published in: Journal of Experimental & Theoretical Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=4999&context=etd

zbMATH Keywords

computational learning theoryconcept learningprobably approximately correctconcept decompositionexample decompositionlearning by decomposition

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Feature extraction. Foundations and applications. Papers from NIPS 2003 workshop on feature extraction, Whistler, BC, Canada, December 11--13, 2003. With CD-ROM.
• Decision theoretic generalizations of the PAC model for neural net and other learning applications
• Separate-and-conquer rule learning
• Automatic feature extraction for classifying audio data
• Analysis of Preconditioners for Domain Decomposition
• A theory of the learnable

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