Description: The Nature of Statistical Learning Theory by Vladimir Vapnik Estimated delivery 3-12 business days Format Paperback Condition Brand New Description The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. Publisher Description The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. These include: * the setting of learning problems based on the model of minimizing the risk functional from empirical data * a comprehensive analysis of the empirical risk minimization principle including necessary and sufficient conditions for its consistency * non-asymptotic bounds for the risk achieved using the empirical risk minimization principle * principles for controlling the generalization ability of learning machines using small sample sizes based on these bounds * the Support Vector methods that control the generalization ability when estimating function using small sample size. The second edition of the book contains three new chapters devoted to further development of the learning theory and SVM techniques. These include: * the theory of direct method of learning based on solving multidimensional integral equations for density, conditional probability, and conditional density estimation * a new inductive principle of learning. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists. Vladimir N. Vapnik is Technology Leader AT&T Labs-Research and Professor of London University. He is one of the founders of Details ISBN 1441931600 ISBN-13 9781441931603 Title The Nature of Statistical Learning Theory Author Vladimir Vapnik Format Paperback Year 2010 Pages 314 Edition 2nd Publisher Springer-Verlag New York Inc. GE_Item_ID:137676817; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 308.27 USD
Location: Fairfield, Ohio
End Time: 2024-12-23T03:36:41.000Z
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ISBN-13: 9781441931603
Book Title: The Nature of Statistical Learning Theory
Number of Pages: Xx, 314 Pages
Publication Name: Nature of Statistical Learning Theory
Language: English
Publisher: Springer New York
Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, General
Publication Year: 2010
Item Weight: 18.2 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Philosophy
Author: Vladimir Vapnik
Item Length: 9.3 in
Series: Information Science and Statistics Ser.
Item Width: 6.1 in
Format: Trade Paperback