bokomslag Case-based Predictions: An Axiomatic Approach To Prediction, Classification And Statistical Learning
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Case-based Predictions: An Axiomatic Approach To Prediction, Classification And Statistical Learning

Itzhak Gilboa David Schmeidler

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  • 348 sidor
  • 2012
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.
  • Författare: Itzhak Gilboa, David Schmeidler
  • Format: Inbunden
  • ISBN: 9789814366175
  • Språk: Engelska
  • Antal sidor: 348
  • Utgivningsdatum: 2012-04-27
  • Förlag: World Scientific Publishing Co Pte Ltd