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Learning Theory Toward Genome Informatics
IEICE TRANSACTIONS on Information and Systems
Publication Date: 1995/05/25
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Algorithmic Learning Theory)
Category: Machine Learning and Its Applications
PAC-learning, computational complexity, knowledge acquisition, genome informaics,
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This paper discusses some problems in Molecular Biology for which learning paradigms are strongly desired. We also present a framework of knowledge discovery by PAC-learning paradigm together with its theory and practice developed in our work for discovery from amino acid sequences.