CASE-BASED PREDICTIONS: AN AXIOMATIC APPROACH TO PREDICTION, CLASSIFICATION AND STATISTICAL LEARNING (World Scientific Economic Theory) - Hardcover

Gilboa Itzhak

 
9789814366175: CASE-BASED PREDICTIONS: AN AXIOMATIC APPROACH TO PREDICTION, CLASSIFICATION AND STATISTICAL LEARNING (World Scientific Economic Theory)

Synopsis

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.

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From the Back Cover

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.

"About this title" may belong to another edition of this title.