Machine learning in Dynamic Adaptive Streaming over HTTP (DASH)
نویسنده
چکیده
Koffka Khan Department of Computing and Information Technology The University of the West Indies, Trinidad and Tobago, W.I Email: [email protected] Wayne Goodridge Department of Computing and Information Technology The University of the West Indies, Trinidad and Tobago, W.I Email: [email protected] -------------------------------------------------------------------ABSTRACT--------------------------------------------------------------Recently machine learning has been introduced into the area of adaptive video streaming. This paper explores a novel taxonomy that includes six state of the art techniques of machine learning that have been applied to Dynamic Adaptive Streaming over HTTP (DASH): (1) Q-learning, (2) Reinforcement learning, (3) Regression, (4) Classification, (5) Decision Tree learning, and (6) Neural networks. Keywords—Machine learning; DASH; Q-learning; Reinforcement learning; Regression; Classification; Decision Tree learning; Neural networks -------------------------------------------------------------------------------------------------------------------------------------------------Date of Submission: Nov 17, 2017 Date of Acceptance: Dec 05, 2017 -------------------------------------------------------------------------------------------------------------------------------------------------
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تاریخ انتشار 2017