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pro vyhledávání: '"Daniel Augusto R. M. A. de Souza"'
Autor:
Gustavo C. de M. Virgolino, Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, César Lincoln C. Mattos, João P. P. Gomes
Publikováno v:
Expert Systems with Applications. 188:115847
Portfolio strategies for Bayesian optimization (BO) aim to mitigate the issue of choosing an acquisition function when performing black-box optimization with Gaussian processes (GP) surrogate models. In that sense, the GP-Hedge is a straightforward p
Autor:
João P. P. Gomes, Daniel Augusto R. M. A. de Souza, César Lincoln C. Mattos, Thiago de P. Vasconcelos
Publikováno v:
ICTAI
Bayesian Optimization (BO) is a framework for black-box optimization that is especially suitable for expensive cost functions. Among the main parts of a BO algorithm, the acquisition function is of fundamental importance, since it guides the optimiza
Autor:
César Lincoln C. Mattos, João Emanoel Ambrósio Gomes, Daniel Augusto R. M. A. de Souza, Thiago Brasileiro de Vasconcelos
Publikováno v:
BRACIS
Wind power has been increasingly adopted as a feasible renewable power source. However, the cost maintenance of wind turbines (WT) represents a significant part of the costs in this industry sector. To alleviate that, conditioning monitoring systems