Testing of machine learning models with limited samples: an industrial vacuum pumping application

Author:

Chatterjee Ayan1,Ahmed Bestoun S.1,Hallin Erik2,Engman Anton2

Affiliation:

1. Karlstad University, Sweden

2. Uddeholms, Sweden

Funder

Knowledge Foundation of Sweden

Publisher

ACM

Reference31 articles.

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2. B ARH. 2016 . ELECTROSLAG REMELTING: A PROCESS OVERVIEW. Materiali in tehnologije, 50, 6 (2016), 971–979. B ARH. 2016. ELECTROSLAG REMELTING: A PROCESS OVERVIEW. Materiali in tehnologije, 50, 6 (2016), 971–979.

3. James Bergstra , Rémi Bardenet , Yoshua Bengio , and Balázs Kégl . 2011. Algorithms for Hyper-Parameter Optimization . In Advances in Neural Information Processing Systems , J. Shawe-Taylor, R. Zemel, P. Bartlett, F. Pereira, and K. Q. Weinberger (Eds.). 24, Curran Associates, Inc. . https://proceedings.neurips.cc/paper/ 2011 /file/86e8f7ab32cfd12577bc2619bc635690-Paper.pdf James Bergstra, Rémi Bardenet, Yoshua Bengio, and Balázs Kégl. 2011. Algorithms for Hyper-Parameter Optimization. In Advances in Neural Information Processing Systems, J. Shawe-Taylor, R. Zemel, P. Bartlett, F. Pereira, and K. Q. Weinberger (Eds.). 24, Curran Associates, Inc.. https://proceedings.neurips.cc/paper/2011/file/86e8f7ab32cfd12577bc2619bc635690-Paper.pdf

4. Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters;Cawley Gavin C.;Journal of Machine Learning Research,2007

5. Performance evaluation of vacuum system: Pump-down time;Chaudhari Vishal D;International Journal of Scientific and Engineering Research,2011

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