Learning With Kernels Support Vector Machines Regularization Optimization And Beyond(1st Edition)

Authors:

Bernhard Schlkopf ,Alexander J Smola

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 2 Left

Shipment time

Expected shipping within 2 - 3 Days
Access to 35 Million+ Textbooks solutions Free
Ask Unlimited Questions from expert AI-Powered Answers 30 Min Free Tutoring Session
7 days-trial

Total Price:

$0

List Price: $37.68 Savings: $37.68 (100%)
Access to 30 Million+ solutions
Ask 50 Questions from expert AI-Powered Answers 24/7 Tutor Help Detailed solutions for Learning With Kernels Support Vector Machines Regularization Optimization And Beyond

Price:

$9.99

/month

Book details

ISBN: 0262194759, 978-0262194754

Book publisher: Mit Pr

Offer Just for You!: Buy 2 books before the end of January and enter our lucky draw.

Book Price $0 : A Comprehensive Introduction To Support Vector Machines And Related Kernel Methods.In The 1990s, A New Type Of Learning Algorithm Was Developed, Based On Results From Statistical Learning Theory: The Support Vector Machine (SVM). This Gave Rise To A New Class Of Theoretically Elegant Learning Machines That Use A Central Concept Of SVMs-kernelsfor A Number Of Learning Tasks. Kernel Machines Provide A Modular Framework That Can Be Adapted To Different Tasks And Domains By The Choice Of The Kernel Function And The Base Algorithm. They Are Replacing Neural Networks In A Variety Of Fields, Including Engineering, Information Retrieval, And Bioinformatics.Learning With Kernels Provides An Introduction To SVMs And Related Kernel Methods. Although The Book Begins With The Basics, It Also Includes The Latest Research. It Provides All Of The Concepts Necessary To Enable A Reader Equipped With Some Basic Mathematical Knowledge To Enter The World Of Machine Learning Using Theoretically Well-founded Yet Easy-to-use Kernel Algorithms And To Understand And Apply The Powerful Algorithms That Have Been Developed Over The Last Few Years.