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...
- 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
- Rights
- License
- Derechos de autor 2020 REVISTA DE INVESTIGACIÓN, DESARROLLO E INNOVACIÓN