Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization-Reference-Cited by-同舟云学术

Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization

Published:2019-06 Issue: Volume:106 Page:202-209
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Candelieri Antonio,Giordani Ilaria,Archetti Francesco,Barkalov Konstantin,Meyerov Iosif,Polovinkin Alexey,Sysoyev Alexander,Zolotykh Nikolai

Funder

Russian Science Foundation

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modelling and Simulation,General Computer Science

Reference36 articles.

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5. Brochu, E., Cora, V.M., De Freitas, N. (2010), A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning. arXiv:1012.2599.

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