Skip to main content
PBS logo
 
 

Search - Kernel Methods and Machine Learning

Kernel Methods and Machine Learning
Kernel Methods and Machine Learning
Author: S. Y. Kung
Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. ...  more »
ISBN-13: 9781107024960
ISBN-10: 110702496X
Publication Date: 4/30/2014
Pages: 495
Rating:
  ?
0 stars, based on 0 rating
Publisher: Cambridge University Press
Book Type: Hardcover
Members Wishing: 0
Reviews: Amazon | Write a Review


Genres:


Back to the Top ↑
By using this Web site, you confirm that you have read, understood, and agreed to be bound by the Terms of Use. As an Amazon Associate we earn from qualifying purchases.
US Patent Number 7,877,315 | Copyright © 2004 - 2024 PaperBackSwap.com. All Rights Reserved.