| Name | Type | Details |
| Machine Learning, Neural and Statistical Classification | Book |
Description: Originally published in 1994. The books introduction states: "The aim of this book is to provide an up-to-date review of different approaches to classification,
compare their performance on a wide range of challenging data-sets, and draw
conclusions on their applicability to realistic industrial problems."
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Author(s): Michie, D. & Spiegelhalter, D.J. & Taylor, C.C. License: Commercial Format: PDF, Other Price: free online URL: http://www.maths.leeds.ac.uk/ ~charles/ statlog/ Limitations: Available as a single, 298 page, PDF. The PDF is not hyperlinked. ReviewText: Deals with machine learning, neural networks, statistical methods, rule-based approaches, decision trees, and much more. The paper version is apparently out of print. Expertise level: graduate Keywords: neural networks , machine learning , statistical , rule-based , decision trees , linear discriminants , density estimation , linear regression , error rates Submitter: EE HomePage Editorial Staff Affiliation: None xml_ID: 1147928473 (single entry page) |
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