Case-based Predictions: An Axiomatic Approach To Prediction, Classification And Statistical Learning

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A01=David Schmeidler
A01=Itzhak Gilboa
Author_David Schmeidler
Author_Itzhak Gilboa
Case-Based Decision Theory
Case-Based Reasoning
Category=KCA
Decision Under Uncertainty
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Product details

  • ISBN 9789814366175
  • Publication Date: 27 Apr 2012
  • Publisher: World Scientific Publishing Co Pte Ltd
  • Publication City/Country: SG
  • Product Form: Hardback
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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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