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World Scientific Publishing Company Case-Based Predictions: An Axiomatic Approach To Prediction, Classification And Statistical Learning

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Description

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.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
26 April 2012
Listed Since
12 October 2013

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