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Bat Algorithm for Feature Selection
The Bat Algorithm was used to select features for a binary classification problem. -
Synthetic dataset for testing the proposed method
The dataset used in this paper is a synthetic dataset generated for testing the proposed method. It consists of three independent parts, each with 15 dimensions, and is used to... -
Result analysis of the NIPS 2003 feature selection challenge
Result analysis of the NIPS 2003 feature selection challenge. -
Regression shrinkage and selection via the LASSO
The (cid:96)0 ball or the (cid:96)1 ball constraints to apply to the same testing problems as the benchmark. -
Deep-gKnock: nonlinear group-feature selection with deep neural network
Feature selection for high-dimensional data is of fundamental importance for different applications across various scientific disciplines. Grouping structure among features... -
Atlantic cod liver datasets
Two datasets from study of toxicant-treated Atlantic cod liver are used here. One is from the study of the hepatic proteome of MeHg-exposed Atlantic cod, and the other is from... -
FK-RFE: A Model-Free Feature Selection Procedure for Ultra-High Dimensional Data
A model-free feature selection procedure for ultra-high dimensional data with mass features.
