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Case-based Predictions: An Axiomatic Approach To Prediction, Classification And Statistical Learning
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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eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Statistics
Product details
- ISBN 9789814366175
- Publication Date: 27 Apr 2012
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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.
Case-based Predictions: An Axiomatic Approach To Prediction, Classification And Statistical Learning
€126.99
