The Mathematics Of Generalization

Author:   David. H Wolpert ,  David Wolpert
Publisher:   Taylor & Francis Inc
ISBN:  

9780201409833


Pages:   460
Publication Date:   01 January 1995
Format:   Paperback
Availability:   In Print   Availability explained
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The Mathematics Of Generalization


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Overview

This volume grew out of a workshop designed to bring together researchers from different fields and includes contributions from workers in Bayesian analysis, machine learning, neural nets, PAC and VC theory, classical sampling theory statistics and the statistical physics of learning. The contributions present a bird's-eye view of the subject.

Full Product Details

Author:   David. H Wolpert ,  David Wolpert
Publisher:   Taylor & Francis Inc
Imprint:   Westview Press Inc
Dimensions:   Width: 15.20cm , Height: 2.40cm , Length: 22.90cm
Weight:   0.453kg
ISBN:  

9780201409833


ISBN 10:   0201409836
Pages:   460
Publication Date:   01 January 1995
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

About the Santa Fe Institute -- Santa Fe Institute Studies in the Sciences of Complexity -- Preface -- The Status of Supervised Learning Science Circa 1994: The Search for a Consensus -- Reflections After Refereeing Papers for NIPS -- The Probably Approximately Correct (PAC) and Other Learning Models -- Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications -- The Relationship Between PAC, the Statistical Physics Framework, the Bayesian Framework, and the VC Framework -- Statistical Physics Models of Supervised Learning -- On Exhaustive Learning -- A Study of Maximal-Coverage Learning Algorithms -- On Bayesian Model Selection -- Soft Classification, a.k.a. Risk Estimation, via Penalized Log Likelihood and Smoothing Spline Analysis of Variance -- Current Research -- Preface to “Simplifying Neural Networks by Soft Weight Sharing” -- Simplifying Neural Networks by Soft Weight Sharing -- Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs -- Image Segmentation and Recognition

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Bob Latford served as chief statistician for CBS NASCAR coverage from 1979-2000. He developed the Championship points system currently used at all Winston Cup events. He lived in Concord, North Carolina.

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