Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/193364
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2018-02-28T08:48:24Z | - |
dc.date.available | 2018-02-28T08:48:24Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/193364 | - |
dc.description.abstract | The proposed models are evaluated with a real newline | |
dc.format.extent | xx, 133 | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Efficient learning models for improving extreme lerning machine classifier | |
dc.title.alternative | ||
dc.creator.researcher | Vimala A | |
dc.description.note | ||
dc.contributor.guide | Pethalakshmi A | |
dc.publisher.place | Tirunelveli | |
dc.publisher.university | Manonmaniam Sundaranar University | |
dc.publisher.institution | Department of Computer Science and Engg. | |
dc.date.registered | nd | |
dc.date.completed | 2017 | |
dc.date.awarded | nd | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science & Engg. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 95.01 kB | Adobe PDF | View/Open |
02_certificate.pdf | 18.17 kB | Adobe PDF | View/Open | |
03_declaration.pdf | 18.04 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 21.9 kB | Adobe PDF | View/Open | |
05_acknowledgement.pdf | 31.25 kB | Adobe PDF | View/Open | |
06_contents.pdf | 76.07 kB | Adobe PDF | View/Open | |
07_chapter 1.pdf | 176.34 kB | Adobe PDF | View/Open | |
08_chapter 2.pdf | 247.91 kB | Adobe PDF | View/Open | |
09_chapter 3.pdf | 830.52 kB | Adobe PDF | View/Open | |
10_chapter 4.pdf | 1.05 MB | Adobe PDF | View/Open | |
11_chapter 5.pdf | 927.05 kB | Adobe PDF | View/Open | |
12_chapter 6.pdf | 418.58 kB | Adobe PDF | View/Open | |
13_chapter 7.pdf | 1.33 MB | Adobe PDF | View/Open | |
14_bibliography.pdf | 118.4 kB | Adobe PDF | View/Open |
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