CASE-BASED PREDICTIONS - Gilboa Itzhak
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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, ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Gilboa Itzhak |
|---|---|
| Izdevējs | World Scientific |
| Izlaides gads | 2012 |
| Vāka tips | Cietais vāks |
| EAN | 9789814366175 |