Compactly supported basis functions as support vector kernels: Capturing feature interdependence in the embedding space

Ph.D

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Bibliographic Details
Main Author:	PETER WITTEK
Other Authors:	COMPUTER SCIENCE
Format:	Theses and Dissertations
Language:	English
Published:	2010
Subjects:	kernel methods, support vector machines, feature engineering, wavelets, text classification, semantic kernels
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/18828
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-18828
record_format	dspace
spelling	sg-nus-scholar.10635-188282017-10-21T08:06:35Z Compactly supported basis functions as support vector kernels: Capturing feature interdependence in the embedding space PETER WITTEK COMPUTER SCIENCE TAN CHEW LIM kernel methods, support vector machines, feature engineering, wavelets, text classification, semantic kernels Ph.D DOCTOR OF PHILOSOPHY 2010-12-31T18:00:54Z 2010-12-31T18:00:54Z 2010-04-07 Thesis PETER WITTEK (2010-04-07). Compactly supported basis functions as support vector kernels: Capturing feature interdependence in the embedding space. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/18828 NOT_IN_WOS en
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
language	English
topic	kernel methods, support vector machines, feature engineering, wavelets, text classification, semantic kernels
spellingShingle	kernel methods, support vector machines, feature engineering, wavelets, text classification, semantic kernels PETER WITTEK Compactly supported basis functions as support vector kernels: Capturing feature interdependence in the embedding space
description	Ph.D
author2	COMPUTER SCIENCE
author_facet	COMPUTER SCIENCE PETER WITTEK
format	Theses and Dissertations
author	PETER WITTEK
author_sort	PETER WITTEK
title	Compactly supported basis functions as support vector kernels: Capturing feature interdependence in the embedding space
title_short	Compactly supported basis functions as support vector kernels: Capturing feature interdependence in the embedding space
title_full	Compactly supported basis functions as support vector kernels: Capturing feature interdependence in the embedding space
title_fullStr	Compactly supported basis functions as support vector kernels: Capturing feature interdependence in the embedding space
title_full_unstemmed	Compactly supported basis functions as support vector kernels: Capturing feature interdependence in the embedding space
title_sort	compactly supported basis functions as support vector kernels: capturing feature interdependence in the embedding space
publishDate	2010
url	http://scholarbank.nus.edu.sg/handle/10635/18828
_version_	1681079570667667456

Compactly supported basis functions as support vector kernels: Capturing feature interdependence in the embedding space

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