Web: http://arxiv.org/abs/2201.05978

May 5, 2022, 1:12 a.m. | Varun Ramamohan, Shobhit Singhal, Aditya Raj Gupta, Nomesh Bhojkumar Bolia

cs.LG updates on arXiv.org arxiv.org

Machine learning (ML) methods are used in most technical areas such as image
recognition, product recommendation, financial analysis, medical diagnosis, and
predictive maintenance. An important aspect of implementing ML methods involves
controlling the learning process for the ML method so as to maximize the
performance of the method under consideration. Hyperparameter tuning is the
process of selecting a suitable set of ML method parameters that control its
learning process. In this work, we demonstrate the use of discrete simulation
optimization …

arxiv learning machine machine learning optimization simulation

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