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Case-based Predictions: An Axiomatic Approach To Prediction, Classification And Statistical Learning (Hardcover) Loot Price: R3,384
Discovery Miles 33 840
Repayment Terms: R317 pm x 12*
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Case-based Predictions: An Axiomatic Approach To Prediction, Classification And Statistical Learning (Hardcover): Itzhak...

Case-based Predictions: An Axiomatic Approach To Prediction, Classification And Statistical Learning (Hardcover)

Itzhak Gilboa, David Schmeidler

Series: World Scientific Series In Economic Theory, 3

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Loot Price R3,384 Discovery Miles 33 840 | Repayment Terms: R317 pm x 12*

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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, 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.

General

Imprint: World Scientific Publishing Co Pte Ltd
Country of origin: Singapore
Series: World Scientific Series In Economic Theory, 3
Release date: April 2012
First published: December 2011
Authors: Itzhak Gilboa • David Schmeidler
Dimensions: 233 x 161 x 24mm (L x W x T)
Format: Hardcover
Pages: 348
ISBN-13: 978-981-4366-17-5
Categories: Books > Business & Economics > Economics > Economic theory & philosophy
LSN: 981-4366-17-X
Barcode: 9789814366175

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