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07/26/2023
Using Markov Boundary Approach for Interpretable and Generalizable Feature Selection
Predictive power and generalizability of models depend on the quality of...
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11/15/2022
Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation
Hyper-parameters (HPs) are an important part of machine learning (ML) mo...
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07/02/2019
Bayesian Analysis of High-dimensional Discrete Graphical Models
This work introduces a Bayesian methodology for fitting large discrete g...
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03/27/2018
