Functional form estimation using oblique projection matrices for ls-SVM regression models

Kernel regression models have been used as non-parametric methods for fitting experimental data. However, due to their non-parametric nature, they belong to the so-called 'black box' models, indicating that the relation between the input variables and the output, depending on the kernel se...

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Autores:

Tipo de recurso:

Fecha de publicación:

2019

Institución:

Universidad del Rosario

Repositorio:

Repositorio EdocUR - U. Rosario

Idioma:

eng

OAI Identifier:

oai:repository.urosario.edu.co:10336/22835

Acceso en línea:

https://doi.org/10.1371/journal.pone.0217967
https://repository.urosario.edu.co/handle/10336/22835

Palabra clave:

Analysis of variance
Article
Decomposition
Human
Least square analysis
Support vector machine
Algorithm
Artificial intelligence
Least square analysis
Machine learning
Statistical model
Support vector machine
Algorithms
Artificial intelligence
Least-squares analysis
Machine learning
Support vector machine
Statistical
Models

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