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CASE-BASED PREDICTIONS : An Axiomatic Approach To Prediction, Classification And Statistical Learning - GILBOA ITZHAK

CASE-BASED PREDICTIONS

An Axiomatic Approach To Prediction, Classification And Statistical Learning

By: GILBOA ITZHAK

Hardcover | 27 April 2012

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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.

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