Stock Image

Kernel-based Data Fusion for Machine Learning: Methods and Applications in Bioinformatics and Text Mining (Studies in Computational Intelligence)

Shi Yu

0 ratings by Goodreads
ISBN 10: 3642194052 / ISBN 13: 9783642194054
Published by Springer, 2011
Condition: Good Hardcover
From Books Express (Portsmouth, NH, U.S.A.)

AbeBooks Seller Since August 14, 2015 Seller Rating 5-star rating

Quantity Available: 1

Buy Used
Price: US$ 265.76 Convert Currency
Shipping: Free Within U.S.A. Destination, rates & speeds
Add to basket

30 Day Return Policy

About this Item

Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!. Bookseller Inventory # 3642194052

Ask Seller a Question

Bibliographic Details

Title: Kernel-based Data Fusion for Machine ...

Publisher: Springer

Publication Date: 2011

Binding: Hardcover

Book Condition:Good

Edition: 2011.

About this title

Synopsis:

Data fusion problems arise frequently in many different fields.  This book provides a specific introduction to data fusion problems using support vector machines. In the first part, this book begins with a brief survey of additive models and Rayleigh quotient objectives in machine learning, and then introduces kernel fusion as the additive expansion of support vector machines in the dual problem.  The second part presents several novel kernel fusion algorithms and some real applications in supervised and unsupervised learning. The last part of the book substantiates the value of the proposed theories and algorithms in MerKator, an open software to identify disease relevant genes based on the integration of heterogeneous genomic data sources in multiple species.


The topics presented in this book are meant for researchers or students who use support vector machines. Several topics addressed in the book may also be interesting to computational biologists who want to tackle data fusion challenges in real applications. The background required of the reader is a good knowledge of data mining, machine learning and linear algebra.

 

Review:

From the reviews:

“The book provides an introduction to data fusion problems using support vector machines (SVMs). ... The book is meant for researchers, scientists and engineers using SVMs, or other statistical learning methods, but it also may be used as a reference material for graduate courses in machine learning and data mining.” (Florin Gorunescu, Zentralblatt MATH, Vol. 1227, 2012)

"About this title" may belong to another edition of this title.

Store Description

Visit Seller's Storefront

Terms of Sale:

Buy with confidence. Excellent customer service. 30 day return policy.

Books Express LLC
1465 Woodbury Ave
#400
Portsmouth NH 03801


Shipping Terms:

Standard and expedited shipping options include shipping and handling costs. Default shipping is by USPS Media Mail and frequently USPS Priority Mail or UPS Ground is used. Books should arrive within 10-14 business days for expedited shipping, and 20-30 business days for standard shipping. Standard shipping can on occasion take up to 30 days for delivery.

List this Seller's Books

Payment Methods
accepted by seller

Visa Mastercard American Express

Check Money Order PayPal Invoice Bank Draft Bank/Wire Transfer Direct Debit (Personally Authorized Payment)