Machine Learning for Information Retrieval: Neural Networks, Symbolic Learning, and Genetic Algorithms.

Chen, Hsinchun

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Peer reviewed

ERIC Number: EJ501657

Record Type: Journal

Publication Date: 1995

Pages: N/A

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ISSN: ISSN-0002-8231

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Machine Learning for Information Retrieval: Neural Networks, Symbolic Learning, and Genetic Algorithms.

Chen, Hsinchun

Journal of the American Society for Information Science, v46 n3 p194-216 Apr 1995

Presents an overview of artificial-intelligence-based inductive learning techniques and their use in information science research. Three methods are discussed: the connectionist Hopfield network; the symbolic ID3/ID5R; evolution-based genetic algorithms. The knowledge representations and algorithms of these methods are examined in the context of information retrieval. (131 references) (Author/JKP)

Descriptors: Artificial Intelligence, Indexing, Induction, Information Processing, Information Retrieval, Information Science, Knowledge Representation, Logical Thinking

Publication Type: Reports - Evaluative; Reports - Research; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

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