Gentle Introduction To Support Vector Machines In Biomedicine, A - Volume 1: Theory And Methods
Theory and Methods
Published on 2. March 2011
Book
Hardback
200 pages
978-981-4324-38-0 (ISBN)
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).
More details
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Biomedical researchers and healthcare professionals who would like to learn about SVMs and relevant bioinformatics tools but do not have the necessary technical background.
Product notice
sewn/stitched
Paper over boards
Dimensions
Height: 231 mm
Width: 191 mm
Thickness: 18 mm
Weight
658 gr
ISBN-13
978-981-4324-38-0 (9789814324380)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Content
Necessary Mathematical Concepts; Support Vector Machines (SVMs) for Binary Classification: Classical Formulation; Basic Principles of Statistical Machine Learning; Model Selection for SVMs; SVMs for Multi-Category Classification; Support Vector Regression (SVR); Novelty Detection with SVM-Based Methods; Support Vector Clustering; SVM-Based Variable Selection; Computing Posterior Class Probabilities For SVM Classifiers.