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Time–Adaptive Support Vector Machines
(Asociación Española de Inteligencia Artificial, 2011)
Aplicação de técnicas de Machine Learning na combinação de pesquisas eleitorais
(Universidade Federal do Rio Grande do NorteBrasilUFRNEstatística, 2018-12-05)
The Brazilian electoral polls are made, mostly, from a non-probabilistic sample plan by
quotas. Thus, there is an accumulation of uncertainties regarding the estimates obtained,
since there is no way to guarantee that ...
Predicting EHL film thickness parameters by machine learning approaches
(2022)
Non-dimensional similarity groups and analytically solvable proximity equations can be used to estimate integral fluid film parameters of elastohydrodynamically lubricated (EHL) contacts. In this contribution, we demonstrate ...
Support Vector Machine Ensemble Based on Feature and Hyperparameter Variation.
(Universidade Federal do Espírito SantoBRPrograma de Pós-Graduação em InformáticaUFESMestrado em Informática, 2011-02-23)
Classificadores do tipo máquina de vetores de suporte (SVM) são atualmente considerados
uma das técnicas mais poderosas para se resolver problemas de classificação com duas classes.
Para aumentar o desempenho alcançado ...
Models for quantifying risk and reliability metrics via metaheuristics and support vector machines
(Universidade Federal de Pernambuco, 2015)
Predicting EHL film thickness parameters by machine learning approaches
(Springer, 2022)
Non-dimensional similarity groups and analytically solvable proximity equations can be used to estimate integral fluid film parameters of elastohydrodynamically lubricated (EHL) contacts. In this contribution, we demonstrate ...
Diseño de herramienta computacional basada en machine learning para la detección de desviaciones de consumoComputational tool design based on machine learning for energy consumption outlier detection
(Barranquilla, Universidad del Norte, 2018, 2018)