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

Srivastava, Chandan

 
9783844385212: Support Vector Data Description: Means of Detecting Artificially-Induced Postural Degradation, machine learning, biomedical signal processing
Softcover
ISBN 10: 3844385215 ISBN 13: 9783844385212
Verlag: LAP LAMBERT Academic Publishing, 2011

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Chandan Srivastava é investigador doutorado no Department de Enginyeria Química, Universitat Rovira i Virgili,Espanha. Obteve o seu mestrado e investigação no Departamento de Optimização e Segurança de Sistemas, Universidade de Tecnologia de Troyes, França. A sua área de investigação inclui a aprendizagem de máquinas, e o processamento de sinais biomédicos.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2011
Sprache
Englisch
ISBN 10 
3844385215
ISBN 13 
9783844385212
Einband
Taschenbuch
Anzahl der Seiten
72
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Editions Muse
customerservice@vdm-vsg.de

Brivibas gatve 197
Riga
1039
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