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Activity Number: 511 - High-Dimensional Data Analytics: Theory and Applications
Type: Contributed
Date/Time: Wednesday, August 2, 2017 : 10:30 AM to 12:20 PM
Sponsor: International Chinese Statistical Association
Abstract #323668
Title: Online Learning for Multi-Class Classification with Applications to Communication Network Traffic Management
Author(s): Henry Lu*
Companies: National Chiao Tung University
Keywords: Online learning ; classification ; network traffic management

Supervised learning based on the methods of support vector machine (SVM) and the related techniques are very useful for the classification of complex data. However, the computation cost is very high when the training data set 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 and the related techniques for multi-class problems in massive data are developed. The empirical performance of these methods will be evaluated by real data in communication network traffic management.

Authors who are presenting talks have a * after their name.

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