Infinite Feature Selection: A Graph-based Feature Filtering Approach

We propose a filtering feature selection framework that considers subsets of features as paths in a graph, where a node is a feature and an edge indicates pairwise (customizable) relations among features, dealing with relevance and redundancy principles. By two different interpretations (exploiting...

Celý popis

Podrobná bibliografie

Vydáno v:	IEEE transactions on pattern analysis and machine intelligence Ročník 43; číslo 12; s. 4396 - 4410
Hlavní autoři:	Roffo, Giorgio, Melzi, Simone, Castellani, Umberto, Vinciarelli, Alessandro, Cristani, Marco
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.12.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Computational complexity Correlation Feature extraction Feature selection filter methods Filtration Laplace equations Markov chains Markov processes Mutual information Power series Redundancy
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!