Login

Kulkarni, Sanjeev

An Introduction to Elementary Statistical Learning Theory

Kulkarni, Sanjeev - An Introduction to Elementary Statistical Learning Theory, ebook

99,00€

Ebook, PDF with Adobe DRM
ISBN: 9781118023433
DRM Restrictions

Printing86 pages with an additional page accrued every 9 hours, capped at 86 pages
Copy to clipboard14 excerpts

A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Introduction to Statistical Learning Theory provides a broad and accessible introduction to rapidly evolving field of statistical pattern recognition and statistical learning theory. Exploring topics that are not often covered in introductory level books on statistical learning theory, including PAC learning, VC dimension, and simplicity, the authors present upper-undergraduate and graduate levels with the basic theory behind contemporary machine learning and uniquely suggest it serves as an excellent framework for philosophical thinking about inductive inference.

Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2011
Language
en
Edition
1
Series
Wiley Series in Probability and Statistics
Page amount
288 pages
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9781118023433
Printed ISBN
9780470641835

Similar titles