Jyh-Han Lin
About
Jyh-Han Lin has authored 10 papers that have received a total of 232 indexed citations.
This includes 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. The topics of these papers are Machine Learning and Algorithms (6 papers), Machine Learning and Data Classification (5 papers) and Algorithms and Data Compression (3 papers). Jyh-Han Lin is often cited by papers focused on Machine Learning and Algorithms (6 papers), Machine Learning and Data Classification (5 papers) and Algorithms and Data Compression (3 papers) and collaborates with scholars based in United States. Jyh-Han Lin's co-authors include Jeffrey Scott Vitter, Liqun Li, Guobin Shen, Chunshui Zhao and Thomas Moscibroda and has published in prestigious journals such as Machine Learning, Information and Computation and Information Processing Letters
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