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Found 5 papers, 0 papers with code
The FEDHC Bayesian network learning algorithm
The paper proposes a new hybrid Bayesian network learning algorithm, termed Forward Early Dropping Hill Climbing (FEDHC), devised to work with either continuous or categorical variables.
Estimating NBA players salary share according to their performance on court: A machine learning approach
It is customary for researchers and practitioners to fit linear models in order to predict NBA player's salary based on the players' performance on court.
A generalised OMP algorithm for feature selection with application to gene expression data
Feature selection for predictive analytics is the problem of identifying a minimal-size subset of features that is maximally predictive of an outcome of interest.
A folded model for compositional data analysis
A folded type model is developed for analyzing compositional data.
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 constrained-based learning of Bayesian Networks.
