Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/3346
Title: | Enhanced kernel methods for pattern classification | Authors: | Tang, Ke | Keywords: | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition | Issue Date: | 2007 | Source: | Tang, K. (2007). Enhanced kernel methods for pattern classification. Doctoral thesis, Nanyang Technological University, Singapore. | Abstract: | A kernel method named least squares support vector machine is investigated in sub-topics of the pattern classification area. | URI: | https://hdl.handle.net/10356/3346 | DOI: | 10.32657/10356/3346 | Schools: | School of Electrical and Electronic Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Theses |
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EEE-THESES_1217.pdf | 2.25 MB | Adobe PDF | View/Open |
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