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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Autores:
Tipo de recurso:
http://purl.org/coar/resource_type/c_6528
Fecha de publicación:
2020
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/10331
Acceso en línea:
https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/11676
https://repositorio.uptc.edu.co/handle/001/10331
Palabra clave:
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
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License
Derechos de autor 2020 REVISTA DE INVESTIGACIÓN, DESARROLLO E INNOVACIÓN