Hyper-parameter optimization tools comparison for multiple object tracking applications
نویسندگان
چکیده
منابع مشابه
Efficient Hyper-parameter Optimization for NLP Applications
Hyper-parameter optimization is an important problem in natural language processing (NLP) and machine learning. Recently, a group of studies has focused on using sequential Bayesian Optimization to solve this problem, which aims to reduce the number of iterations and trials required during the optimization process. In this paper, we explore this problem from a different angle, and propose a mul...
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ژورنال
عنوان ژورنال: Machine Vision and Applications
سال: 2018
ISSN: 0932-8092,1432-1769
DOI: 10.1007/s00138-018-0984-1