129 citations · 222 across the 25 of their papers we have counts for
5 papers · 1 filter
The FEDHC Bayesian network learning algorithm
Michail Tsagris
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 vari…
Estimating NBA players salary share according to their performance on court: A machine learning approach
Ioanna Papadaki, Michail Tsagris
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. On the contrary, we focus…
A generalised OMP algorithm for feature selection with application to gene expression data
Michail Tsagris, Zacharias Papadovasilakis, Kleanthi Lakiotaki +1
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. To apply to molec…
Computationally efficient univariate filtering for massive data
M. Tsagris, A. Alenazi, S. Fafalios
The vast availability of large scale, massive and big data has increased the computational cost of data analysis. One such case is the computational cost of the univariate filterin…
Flexible non-parametric regression models for compositional data
Michail Tsagris, Abdulaziz Alenazi, Connie Stewart
Compositional data arise in many real-life applications and versatile methods for properly analyzing this type of data in the regression context are needed. When parametric assumpt…