Case-based Predictions: An Axiomatic Approach To Prediction, Classification And Statistical Learning Hardback
by Itzhak (Tel-aviv Univ, Israel & Hec, Paris, France) Gilboa, David (Tel-aviv Univ, Israel & Ohio State Univ, Usa) Schmeidler
Part of the World Scientific Series In Economic Theory series
Hardback
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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.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:348 pages
- Publisher:World Scientific Publishing Co Pte Ltd
- Publication Date:27/04/2012
- Category:
- ISBN:9789814366175
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:348 pages
- Publisher:World Scientific Publishing Co Pte Ltd
- Publication Date:27/04/2012
- Category:
- ISBN:9789814366175
