Hyperparameter optimization of topological features for machine learning applications (2019)
Source: Proceedings. Conference titles: IEEE International Conference On Machine Learning And Applications - ICMLA. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, TOPOLOGIA, ALGORITMOS ÚTEIS E ESPECÍFICOS, ANÁLISE DE DADOS
ABNT
MOTTA, Francis et al. Hyperparameter optimization of topological features for machine learning applications. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICMLA.2019.00185. Acesso em: 07 set. 2024.APA
Motta, F., Tralie, C., Bedini, R., Bini, F., Bini, G., Eramian, H., et al. (2019). Hyperparameter optimization of topological features for machine learning applications. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICMLA.2019.00185NLM
Motta F, Tralie C, Bedini R, Bini F, Bini G, Eramian H, Gameiro MF, Haase S, Haddox H, Harer J, Leiby N, Marinozzi F, Novotney S, Rocklin G, Singer J, Strickland D, Vaughn M. Hyperparameter optimization of topological features for machine learning applications [Internet]. Proceedings. 2019 ;[citado 2024 set. 07 ] Available from: https://doi.org/10.1109/ICMLA.2019.00185Vancouver
Motta F, Tralie C, Bedini R, Bini F, Bini G, Eramian H, Gameiro MF, Haase S, Haddox H, Harer J, Leiby N, Marinozzi F, Novotney S, Rocklin G, Singer J, Strickland D, Vaughn M. Hyperparameter optimization of topological features for machine learning applications [Internet]. Proceedings. 2019 ;[citado 2024 set. 07 ] Available from: https://doi.org/10.1109/ICMLA.2019.00185