CASE-BASED PREDICTIONS - Gilboa Itzhak
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Toimitus 17-23 arkipäivässä
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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, ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Gilboa Itzhak |
|---|---|
| Julkaisija | World Scientific |
| Julkaisuvuosi | 2012 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9789814366175 |