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Více informací o knize Case-based Predictions: An Axiomatic Approach To Prediction, Classification And Statistical Learning

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• Anotace
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Anotace knihy

This 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.

Parametry knihy

Zařazení knihy Knihy v angličtině Economics, finance, business & management Economics Economic theory & philosophy

• Plný název: Case-based Predictions: An Axiomatic Approach To Prediction, Classification And Statistical Learning
• Autor: Itzhak Gilboa
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 348
• EAN: 9789814366175
• ISBN: 981436617X
• ID: 04430080
• Nakladatelství: World Scientific Publishing Co Pte Ltd
• Hmotnost: 628 g
• Rozměry: 233 × 161 × 24 mm
• Datum vydání: 27. April 2012

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