Optimization of Support Vector Machines for balancing the trade off between generalization performance and computational complexity

dc.contributor.guide	K. V., Kadambari
dc.coverage.spatial
dc.creator.researcher	Bollipo, Lavanya Madhuri
dc.date.accessioned	2022-12-28T04:40:44Z
dc.date.available	2022-12-28T04:40:44Z
dc.date.awarded	2021
dc.date.completed	2021
dc.date.registered
dc.description.abstract	File Attached
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	xiv, 118 p.
dc.identifier.uri	http://hdl.handle.net/10603/432433
dc.language	English
dc.publisher.institution	Department of Computer Science and Engineering
dc.publisher.place	Warangal
dc.publisher.university	National Institute of Technology Warangal
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computational Complexity
dc.subject.keyword	Computer Science
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Frank-Wolfe algorithm
dc.subject.keyword	Incremental Learning
dc.subject.keyword	Large margin distribution
dc.subject.keyword	Support vector machines
dc.title	Optimization of Support Vector Machines for balancing the trade off between generalization performance and computational complexity
dc.title.alternative	Optimization of Support Vector Machines for balancing the trade-off between generalization performance and computational complexity
dc.type.degree	Ph.D.