Hyper-parameter learning for graph based semi-supervised learning algorithms
Master's
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sg-nus-scholar.10635-151902017-10-21T09:57:49Z Hyper-parameter learning for graph based semi-supervised learning algorithms ZHANG XINHUA COMPUTER SCIENCE LEE WEE SUN Semi-supervised learning, Graph based methods, Hyperparameter learning, Leave-one-out cross validation, Classification, Statistical machine learning Master's MASTER OF SCIENCE 2010-04-08T10:50:57Z 2010-04-08T10:50:57Z 2006-04-03 Thesis ZHANG XINHUA (2006-04-03). Hyper-parameter learning for graph based semi-supervised learning algorithms. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/15190 NOT_IN_WOS en |
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Semi-supervised learning, Graph based methods, Hyperparameter learning, Leave-one-out cross validation, Classification, Statistical machine learning |
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Semi-supervised learning, Graph based methods, Hyperparameter learning, Leave-one-out cross validation, Classification, Statistical machine learning ZHANG XINHUA Hyper-parameter learning for graph based semi-supervised learning algorithms |
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Master's |
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COMPUTER SCIENCE |
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COMPUTER SCIENCE ZHANG XINHUA |
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Theses and Dissertations |
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ZHANG XINHUA |
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ZHANG XINHUA |
title |
Hyper-parameter learning for graph based semi-supervised learning algorithms |
title_short |
Hyper-parameter learning for graph based semi-supervised learning algorithms |
title_full |
Hyper-parameter learning for graph based semi-supervised learning algorithms |
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Hyper-parameter learning for graph based semi-supervised learning algorithms |
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Hyper-parameter learning for graph based semi-supervised learning algorithms |
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hyper-parameter learning for graph based semi-supervised learning algorithms |
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2010 |
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http://scholarbank.nus.edu.sg/handle/10635/15190 |
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