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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak: Padilla-Ospina, Ana Milena, Medina-Vásquez, Javier Enrique, Ospina-Holguín, Javier Humberto
Formatua: Online
Hizkuntza:spa
Argitaratua: Universidad Pedagógica y Tecnológica de Colombia 2020
Gaiak:
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
Sarrera elektronikoa: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