Machine learning methods in prospective studies after an example of financing innovation in Colombia

The purpose of this article is to make a brief introduction to five advanced machine learning prediction methods which may be useful for the development of prospective studies: logistic regression, support vector machines, gradient powered machines, random forests and neural networks. In addition, i...

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Main Authors:	Padilla-Ospina, Ana Milena, Medina-Vásquez, Javier Enrique, Ospina-Holguín, Javier Humberto
格式:	Online
語言:	spa
出版:	Universidad Pedagógica y Tecnológica de Colombia 2020
主題:	logistic regression; support vector machines; gradient powered machines; random forests; neuronal networks regresión logística; máquinas de vectores de soporte; máquinas de gradiente potencia; bosques aleatorios; redes neuronales
在線閱讀:	https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/11676