Feature Selection with the R Package MXM : Discovering Statistically Equivalent Feature Subsets

The statistically equivalent signature (SES) algorithm is a method for feature selection inspired by the principles of constraint-based learning of Bayesian networks. Most of the currently available feature selection methods return only a single subset of features, supposedly the one with the highes...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Journal of statistical software Ročník 80; číslo 7; s. 1 - 25
Hlavní autori:	Lagani, Vincenzo, Athineou, Giorgos, Farcomeni, Alessio, Tsagris, Michail, Tsamardinos, Ioannis
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Foundation for Open Access Statistics 01.09.2017
Predmet:	constraint-based algorithms feature selection multiple predictive signatures
ISSN:	1548-7660, 1548-7660
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!