MACHINE LEARNING APPROACH FOR FEATURE SELECTION AND CLASSIFICATION OF HIGH-DIMENSIONAL DATA
Ph.D
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Format: | Theses and Dissertations |
Language: | English |
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2019
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Online Access: | https://scholarbank.nus.edu.sg/handle/10635/158101 |
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sg-nus-scholar.10635-1581012019-09-02T13:16:12Z MACHINE LEARNING APPROACH FOR FEATURE SELECTION AND CLASSIFICATION OF HIGH-DIMENSIONAL DATA FANG YUHANG MECHANICAL ENGINEERING LU WEN-FENG Machine Learning, Feature Selection, Classification Ph.D DOCTOR OF PHILOSOPHY 2019-09-01T18:02:09Z 2019-09-01T18:02:09Z 2019-01-10 Thesis FANG YUHANG (2019-01-10). MACHINE LEARNING APPROACH FOR FEATURE SELECTION AND CLASSIFICATION OF HIGH-DIMENSIONAL DATA. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/158101 en |
institution |
National University of Singapore |
building |
NUS Library |
country |
Singapore |
collection |
ScholarBank@NUS |
language |
English |
topic |
Machine Learning, Feature Selection, Classification |
spellingShingle |
Machine Learning, Feature Selection, Classification FANG YUHANG MACHINE LEARNING APPROACH FOR FEATURE SELECTION AND CLASSIFICATION OF HIGH-DIMENSIONAL DATA |
description |
Ph.D |
author2 |
MECHANICAL ENGINEERING |
author_facet |
MECHANICAL ENGINEERING FANG YUHANG |
format |
Theses and Dissertations |
author |
FANG YUHANG |
author_sort |
FANG YUHANG |
title |
MACHINE LEARNING APPROACH FOR FEATURE SELECTION AND CLASSIFICATION OF HIGH-DIMENSIONAL DATA |
title_short |
MACHINE LEARNING APPROACH FOR FEATURE SELECTION AND CLASSIFICATION OF HIGH-DIMENSIONAL DATA |
title_full |
MACHINE LEARNING APPROACH FOR FEATURE SELECTION AND CLASSIFICATION OF HIGH-DIMENSIONAL DATA |
title_fullStr |
MACHINE LEARNING APPROACH FOR FEATURE SELECTION AND CLASSIFICATION OF HIGH-DIMENSIONAL DATA |
title_full_unstemmed |
MACHINE LEARNING APPROACH FOR FEATURE SELECTION AND CLASSIFICATION OF HIGH-DIMENSIONAL DATA |
title_sort |
machine learning approach for feature selection and classification of high-dimensional data |
publishDate |
2019 |
url |
https://scholarbank.nus.edu.sg/handle/10635/158101 |
_version_ |
1681099745555120128 |