Enhanced kernel methods for pattern classification
A kernel method named least squares support vector machine is investigated in sub-topics of the pattern classification area.
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Format: | Thesis |
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2008
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Online Access: | https://hdl.handle.net/10356/3346 |
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author | Tang, Ke |
author2 | Xin Yao |
author_facet | Xin Yao Tang, Ke |
author_sort | Tang, Ke |
collection | NTU |
description | A kernel method named least squares support vector machine is investigated in sub-topics of the pattern classification area. |
first_indexed | 2025-02-19T03:53:44Z |
format | Thesis |
id | ntu-10356/3346 |
institution | Nanyang Technological University |
last_indexed | 2025-02-19T03:53:44Z |
publishDate | 2008 |
record_format | dspace |
spelling | ntu-10356/33462023-07-04T17:27:49Z Enhanced kernel methods for pattern classification Tang, Ke Xin Yao Ponnuthurai N. Suganthan School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition A kernel method named least squares support vector machine is investigated in sub-topics of the pattern classification area. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:27:57Z 2008-09-17T09:27:57Z 2007 2007 Thesis Tang, K. (2007). Enhanced kernel methods for pattern classification. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/3346 10.32657/10356/3346 Nanyang Technological University application/pdf |
spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Tang, Ke Enhanced kernel methods for pattern classification |
title | Enhanced kernel methods for pattern classification |
title_full | Enhanced kernel methods for pattern classification |
title_fullStr | Enhanced kernel methods for pattern classification |
title_full_unstemmed | Enhanced kernel methods for pattern classification |
title_short | Enhanced kernel methods for pattern classification |
title_sort | enhanced kernel methods for pattern classification |
topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition |
url | https://hdl.handle.net/10356/3346 |
work_keys_str_mv | AT tangke enhancedkernelmethodsforpatternclassification |