Case-Based Predictions
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Book Overview The book presents an axiomatic approach to the problems of prediction, classification, and statistical learning. Using methodologies from...
The book presents an axiomatic approach to the problems of prediction, classification, and statistical learning. Using methodologies from axiomatic decision theory, and, in particular, the authors' case-based decision theory, the present studies attempt to ask what inductive conclusions can be derived from existing databases. It is shown that simple consistency rules lead to similarity-weighted aggregation, akin to kernel-based methods. It is suggested that the similarity function be estimated from the data. The incorporation of rule-based reasoning is discussed.
Book Details Format: Hardcover | Pages: 309 | Language: English | Publisher: WORLD SCIENTIFIC PUB CO INC | ISBN: 981436617X
FormatHardcover
Pages309
LanguageEnglish
ISBN981436617X
EAN9789814366175
PublisherWORLD SCIENTIFIC PUB CO INC
Publication Date1970-01-01
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeHARD COVER BOOKS
Weight1.35 Pounds
Length9.0 Inches
Width6.2 Inches
Height0.9 Inches
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