Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Filter request: Feature-Selection Perceptron #36

Open
pat-s opened this issue Jun 21, 2019 · 0 comments
Open

Filter request: Feature-Selection Perceptron #36

pat-s opened this issue Jun 21, 2019 · 0 comments

Comments

@pat-s
Copy link
Member

pat-s commented Jun 21, 2019

"This embedded method is based on a perceptron, a type of artificial neural net-work that can be seen as the simplest kind of feedforward neu-ral network, namely, a linear classifier. This method is based on training a perceptron in a supervised learning context. Interconnection weights are used to indicate the most relevant features and provide a ranking."

Seijo-Pardo, B., Porto-Díaz, I., Bolón-Canedo, V., & Alonso-Betanzos, A. (2017). Ensemble feature selection: Homogeneous and heterogeneous approaches. Knowledge-Based Systems, 118, 124–139. https://doi.org/10/f9qgrv

Mejia-Lavalle, M., Sucar, L., & Arroyo-Figueroa, G. (2006). Feature selection with a perceptron neural net. Proceedings of the International Workshop on Feature Selection for Data Mining, 131–135.

-> No idea if there is an R implementation

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

1 participant