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Biographie et livres de Zhouchen Lin

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Zhouchen Lin received the Ph.D. degree in applied mathematics from Peking University in 2000. He is currently a Professor at Key Laboratory of Machine Perception(MOE), School of Electronics Engineering and Computer Science, Peking University. His research areas include computer vision, image processing, machine learning, pattern recognition, and numerical optimization. He is an area chair of CVPR 2014/2016, ICCV 2015 and NIPS 2015 and a senior program committee member of AAAI 2016/2017 and IJCAI 2016. He is an associate editor of IEEE Trans. Pattern Analysis and Machine Intelligence and International J. Computer Vision. He is anIAPR fellow.
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Dernière parution

Téléchargez le livre :  Alternating Direction Method of Multipliers for Machine Learning
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Alternating Direction Method of Multipliers for Machine Learning

Cong Fang , Huan Li , Zhouchen Lin


Springer

2022-06-15

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Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type of optimization problem, and the alternating direction method of multipliers (ADMM) is a commonly used algorithm to...

137,14

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Télécharger le livre :  Accelerated Optimization for Machine Learning
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This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The...

Editeur : Springer
Parution : 2020-05-29

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147,69