The Mathematics Of Generalization
The Proceedings of the SFI/CNLS Workshop on Formal Approaches to Supervised Learning
Series: Santa Fe Institute S.;
-
GET 10% OFF
- Publisher's listprice GBP 68.99
-
31 148 Ft (29 665 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 3 115 Ft off)
- Discounted price 28 033 Ft (26 699 Ft + 5% VAT)
28 033 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 1 January 1995
- ISBN 9780201409833
- Binding Paperback
- No. of pages460 pages
- Size 229x152 mm
- Weight 453 g
- Language English 0
Categories
Short description:
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.
MoreLong description:
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.
MoreTable 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 Sharingâ€- -- Simplifying Neural Networks by Soft Weight Sharing -- Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs -- Image Segmentation and Recognition
More
