usage: java -jar vcf-decision-tree.jar -i <arg> -c <arg> [-m <arg>] [-o <arg>] [-f] [-s] [-l] [-p] [-d] [-pb <arg>] [-pd <arg>] [-ph <arg>] [-m <arg>] -i,--input <arg ...

A machine-learning algorithm, catGRANULE 2.0 ROBOT, has been developed to predict the potential of proteins to form toxic aggregates linked to neurodegenerative diseases like ALS, Parkinson's, and ...

In this work, we propose a novel HyperNetwork Slide Decision Tree (HyperSDT) approach to achieve interpretable deep learning for tabular data while maintaining a comparable accuracy to ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

Researchers at the University of Lisbon in Portugal have developed a machine learning algorithm that classifies ... The data were characterized via fine tree, medium tree, and coarse tree ...

Specific techniques encompass logistic regression (LR), decision trees (DT), random forests (RF), neural networks (NN), and deep learning. Importantly, the majority of machine learning algorithms ...