Cantitate/Preț
Produs
Total produse
Vezi coșul
The Mathematics Of Generalization de David. H Wolpert

The Mathematics Of Generalization

Editat de David. H Wolpert
en Limba Engleză Hardback – 7 mai 2019
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 47759 lei  43-57 zile
  CRC Press – 1995 47759 lei  43-57 zile
Hardback (1) 102466 lei  43-57 zile
  CRC Press – 7 mai 2019 102466 lei  43-57 zile

Preț: 102466 lei

Preț vechi: 124959 lei
-18% Nou

Puncte Express: 1537
Preț estimativ în valută:
18129€ • 21121$ • 15831£

Carte tipărită la comandă

Livrare economică 19 ianuarie-02 februarie 26

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780367320515
ISBN-10: 0367320517
Pagini: 460
Dimensiuni: 152 x 229 mm
Greutate: 0.78 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press

Cuprins

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

Descriere

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.