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Found 3 papers, 1 papers with code
CausNet : Generational orderings based search for optimal Bayesian networks via dynamic programming with parent set constraints
Finding a globally optimal Bayesian Network using exhaustive search is a problem with super-exponential complexity, which severely restricts the number of variables that it can work for.
Regularization and feature selection for large dimensional data
Feature selection has evolved to be an important step in several machine learning paradigms.
Single-trial P300 Classification using PCA with LDA, QDA and Neural Networks
This has resulted in a need for better methods to improve single-trial classification accuracy of P300 response.
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