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http://hdl.handle.net/10603/262585
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Computer Science and Applications | |
dc.date.accessioned | 2019-11-14T11:29:38Z | - |
dc.date.available | 2019-11-14T11:29:38Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/262585 | - |
dc.description.abstract | None | |
dc.format.extent | xxiii,287p. | |
dc.language | English | |
dc.relation | - | |
dc.rights | university | |
dc.title | Solving large scale linear support vector classification using an optimization framework based on stochastic approximation and coordinate descent approaches | |
dc.title.alternative | - | |
dc.creator.researcher | Vinod Kumar | |
dc.subject.keyword | Artificial Intelligence | |
dc.subject.keyword | Classification | |
dc.subject.keyword | Engineering and Technology,Computer Science,Computer Science Artificial Intelligence | |
dc.subject.keyword | Large-Scale Learning | |
dc.subject.keyword | Machine Learning | |
dc.subject.keyword | Optimization | |
dc.description.note | References p.265-287 | |
dc.contributor.guide | Sharma, Anuj and Dahiya, Kalpana | |
dc.publisher.place | Chandigarh | |
dc.publisher.university | Panjab University | |
dc.publisher.institution | Department of Computer Science and Application | |
dc.date.registered | 17/09/2015 | |
dc.date.completed | 2019 | |
dc.date.awarded | n.d. | |
dc.format.dimensions | - | |
dc.format.accompanyingmaterial | CD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science and Application |
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