The Mathematics Of Generalization (eBook, PDF)

Redaktion: Wolpert, David. H

• Format: PDF

Produktbeschreibung

This book provides different mathematical frameworks for addressing supervised learning. It is based on a workshop held under the auspices of the Center for Nonlinear Studies at Los Alamos and the Santa Fe Institute in the summer of 1992.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 460
• Erscheinungstermin: 5. März 2018
• Englisch
• ISBN-13: 9780429961076
• Artikelnr.: 54085139

Autorenporträt

David. H Wolpert

Inhaltsangabe

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