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Case-based Predictions: An Axiomatic Approach To Prediction, Classification And Statistical Learning
Itzhak Gilboa • David Schmeidler
Inbunden
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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.
- Format: Inbunden
- ISBN: 9789814366175
- Språk: Engelska
- Antal sidor: 348
- Utgivningsdatum: 2012-04-27
- Förlag: World Scientific Publishing Co Pte Ltd