SUPPORT VECTOR MACHINE FOR HIGH THROUGHPUT RODENT SLEEP BEHAVIOR CLASSIFICATION

SUPPORT VECTOR MACHINE FOR HIGH THROUGHPUT RODENT SLEEP BEHAVIOR CLASSIFICATION

This thesis examines the application of a Support Vector Machine (SVM) classifier to automatically detect sleep and quiet wake (rest) behavior in mice from pressure signals on their cage floor. Previous work employed Neural Networks (NN) and Linear Discriminant Analysis (LDA) to successfully detect...

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Bibliographic Details
Main Author:	Shantilal
Format:	Others
Published:	UKnowledge 2008
Subjects:	Rodent Sleep Behavior Characterization\|Piezoelectric Sensors\|Pattern Classification\|Linear Classifiers\|SVM
Online Access:	http://uknowledge.uky.edu/gradschool_theses/506 http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1509&context=gradschool_theses

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