@inproceedings{d2501c1b30c84ed2b469f5321d5ca548,
title = "Implementation Method of SVR Algorithm in Resource-Constrained Platform",
abstract = "With the development of the Internet of Things and edge computing, machine learning algorithms need to be deployed on resource-constrained embedded platforms. Support Vector Regression (SVR) is one of the most popular algorithms widely used in solving problems characterized by small samples, high-dimensional, and nonlinear, with its good generalization ability and prediction performance. However, SVR algorithm requires a lot of resources when it is implemented. Therefore, this paper proposes a method to implement SVR algorithm in the resource-constrained embedded platform. The method analyses the characteristics of the data in the SVR algorithm and the solution process of the algorithm. Then, according to the characteristics of the embedded platform, the implementation process of the algorithm is optimized. Experiments using UCI datasets show that the implemented SVR algorithm is correct and effective, and the optimized SVR algorithm reduces time and memory consumption at the same time, which is of great significance for the implementation of SVR algorithm in resource-constrained embedded platforms.",
keywords = "Embedded platform, Implementation method, Resource-constrained, SVR algorithm",
author = "Bing Liu and Shoujuan Huang and Ruidong Wu and Ping Fu",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2020.; 15th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2019, held in conjunction with the 12th International Conference on Frontiers of Information Technology, Applications and Tools, FITAT 2019 ; Conference date: 18-07-2019 Through 20-07-2019",
year = "2020",
doi = "10.1007/978-981-13-9710-3\_9",
language = "英语",
isbn = "9789811397097",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "85--93",
editor = "Jeng-Shyang Pan and Jianpo Li and Pei-Wei Tsai and Jain, \{Lakhmi C.\} and Jain, \{Lakhmi C.\} and Jain, \{Lakhmi C.\} and Jain, \{Lakhmi C.\}",
booktitle = "Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceedings of the 15th International Conference on IIH-MSP in conjunction with the 12th International Conference on FITAT, 2019",
address = "德国",
}