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

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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Detalles Bibliográficos
Main Authors: Padilla-Ospina, Ana Milena, Medina-Vásquez, Javier Enrique, Ospina-Holguín, Javier Humberto
Formato: Online
Idioma:spa
Publicado: Universidad Pedagógica y Tecnológica de Colombia 2020
Subjects:
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
Acceso en liña:https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/11676

Internet

https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/11676