Online Learning by SVM for Multiclass Classification in Communication Network Traffic Management

碩士 === 國立交通大學 === 統計學研究所 === 104 === Supervised learning based on the method of support vector machine (SVM) is very useful for the classification of complex data. However, the computation cost is very high when the training dataset is massive. Online learning problems will need to handle the proble...

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Bibliographic Details
Main Authors:	Su, Jian-Chi, 蘇建綺
Other Authors:	Lu, Horng-Shing
Format:	Others
Language:	en_US
Published:	2016
Online Access:	http://ndltd.ncl.edu.tw/handle/78985003628710919608

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spelling	ndltd-TW-104NCTU53370032017-09-10T04:30:11Z http://ndltd.ncl.edu.tw/handle/78985003628710919608 Online Learning by SVM for Multiclass Classification in Communication Network Traffic Management 經由支撐向量機進行多類別分類的線上學習來管理通訊網路流量 Su, Jian-Chi 蘇建綺碩士國立交通大學統計學研究所 104 Supervised learning based on the method of support vector machine (SVM) is very useful for the classification of complex data. However, the computation cost is very high when the training dataset is massive. Online learning problems will need to handle the problems of memory limitation and computational complexity. In this study, the online learning methods by SVM for multiclass problems in massive data are developed. The empirical performance of these methods will be evaluated by real data in communication network traffic management. Lu, Horng-Shing 盧鴻興 2016 學位論文 ; thesis 50 en_US
collection	NDLTD
language	en_US
format	Others
sources	NDLTD
description	碩士 === 國立交通大學 === 統計學研究所 === 104 === Supervised learning based on the method of support vector machine (SVM) is very useful for the classification of complex data. However, the computation cost is very high when the training dataset is massive. Online learning problems will need to handle the problems of memory limitation and computational complexity. In this study, the online learning methods by SVM for multiclass problems in massive data are developed. The empirical performance of these methods will be evaluated by real data in communication network traffic management.
author2	Lu, Horng-Shing
author_facet	Lu, Horng-Shing Su, Jian-Chi 蘇建綺
author	Su, Jian-Chi 蘇建綺
spellingShingle	Su, Jian-Chi 蘇建綺 Online Learning by SVM for Multiclass Classification in Communication Network Traffic Management
author_sort	Su, Jian-Chi
title	Online Learning by SVM for Multiclass Classification in Communication Network Traffic Management
title_short	Online Learning by SVM for Multiclass Classification in Communication Network Traffic Management
title_full	Online Learning by SVM for Multiclass Classification in Communication Network Traffic Management
title_fullStr	Online Learning by SVM for Multiclass Classification in Communication Network Traffic Management
title_full_unstemmed	Online Learning by SVM for Multiclass Classification in Communication Network Traffic Management
title_sort	online learning by svm for multiclass classification in communication network traffic management
publishDate	2016
url	http://ndltd.ncl.edu.tw/handle/78985003628710919608
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Online Learning by SVM for Multiclass Classification in Communication Network Traffic Management

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