MXM

swMATH15369CRANMXMMaRDI QIDQ27258

Feature Selection (Including Multiple Solutions) and Bayesian Networks

Konstantina Biza, Giorgos Athineou, Michail Tsagris, Vincenzo Lagani

Last update: 25 August 2022

Copyright license: GNU General Public License, version 2.0

Software version identifier: 1.5.5

Source code repository: https://github.com/cran/MXM

Cites work

• Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets
• Feature selection for high-dimensional temporal data
• Constraint-based causal discovery with mixed data
• Efficient feature selection on gene expression data: Which algorithm to use?
• Bayesian Network Learning with the PC Algorithm: An Improved and Correct Variation
• Feature selection with the R package MXM
• The γ-OMP algorithm for feature selection with application to gene expression data

Related Items (5)

Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation ⋮ A greedy feature selection algorithm for big data of high dimensionality ⋮ Forward-Backward Selection with Early Dropping ⋮ Extending greedy feature selection algorithms to multiple solutions ⋮ Bayesian network structural learning from complex survey data: a resampling based approach

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