Description: Case-Based Predictions : An Axiomatic Approach to Prediction, Classification and Statistical Learning, Hardcover by Gilboa, Itzhak; Schmeidler, David, ISBN 981436617X, ISBN-13 9789814366175, Brand New, Free shipping in the US Th 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.
Price: 152.48 USD
Location: Jessup, Maryland
End Time: 2025-01-01T13:05:44.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Case-Based Predictions : An Axiomatic Approach to Prediction, Cla
Number of Pages: 348 Pages
Publication Name: Case-Based Predictions : An Axiomatic Approach to Prediction, Classification and Statistical Learning
Language: English
Publisher: World Industries Scientific Publishing Co Pte LTD
Publication Year: 2012
Subject: Game Theory, Probability & Statistics / Stochastic Processes, Probability & Statistics / General, Decision-Making & Problem Solving, Economics / Theory
Type: Textbook
Item Weight: 0 Oz
Subject Area: Mathematics, Education, Business & Economics
Author: Itzhak Gilboa
Format: Hardcover
