Gentle Introduction To Support Vector Machines In Biomedicine, A - Volume 2: Case Studies And Benchmarks (Hardcover)

, , ,
Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields including biology and medicine. However, biomedical researchers often experience difficulties grasping both the theory and applications of these important methods because of lack of technical background. The purpose of this book is to introduce SVMs and their extensions and allow biomedical researchers to understand and apply them in real-life research in a very easy manner. The book is to consist of two volumes: theory and methods (Volume 1) and case studies (Volume 2).

R2,059

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles20590
Mobicred@R193pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 12 - 17 working days



Product Description

Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields including biology and medicine. However, biomedical researchers often experience difficulties grasping both the theory and applications of these important methods because of lack of technical background. The purpose of this book is to introduce SVMs and their extensions and allow biomedical researchers to understand and apply them in real-life research in a very easy manner. The book is to consist of two volumes: theory and methods (Volume 1) and case studies (Volume 2).

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

World Scientific Publishing Co Pte Ltd

Country of origin

Singapore

Release date

May 2013

Availability

Expected to ship within 12 - 17 working days

First published

July 2012

Authors

, , ,

Dimensions

236 x 194 x 17mm (L x W x T)

Format

Hardcover

Pages

212

ISBN-13

978-981-4324-39-7

Barcode

9789814324397

Categories

LSN

981-4324-39-6



Trending On Loot