Support Vector Data Description: Means of Detecting Artificially-Induced Postural Degradation, machine learning, biomedical signal processing

Srivastava, Chandan

ISBN 10: 3844385215 / ISBN 13: 9783844385212

Published by LAP LAMBERT Academic Publishing, 2011

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Bibliographic Details

• Title: Support Vector Data Description: Means of Detecting Artificially-Induced Postural Degradation, machine learning, biomedical signal processing
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3844385215
• ISBN 13: 9783844385212
• Binding: Paperback
• Condition: Like New
• Book Type: book

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Synopsis

This book is based on the basis that machine learningalgorithms and rank based statistical methods are abetter choice to develop a robust model in logicalsituations. We designed experimental setup for datacollection, developed unique class of model includingvariable selection, and detection methods. Theselected significant variables provide a unique classof model for all six participants. We emphasize thebest selected variables have good information formodel development, and each selected variable have noerror i.e.; AUC=1, with forward selection and supportvector data description classifier. Basically, wedeveloped a unique class of model using six differentclasses of subjects, predicting elderly fallprevention, and after doing external validation withseventh class of subject, we reached a uniquesolution. Sections one is research introduction,section two is all about research design and dataanalysis, section three and four give extensivedevelopment of model for variable selection and oneclass classifier. Then finally given the conclusionand future aspect of whole study.

About the Author

Chandan Srivastava is doctoral research fellow at Department deEnginyeria Química, Universitat Rovira i Virgili,Spain. He hasobtained his master study and research at the Department ofSystem Optimization and Security, University of Technology ofTroyes,France. His area of research includes machinelearning, and biomedical signal processing.