(ii) automatic sample selection using Machine Learning (Random Forest) techniques for algorithm training using plant height as a discriminating variable; (iii) automatic classification and generation ...

Based on this research, Wei Ran Lab has conducted big data analysis, trained millions of samples, and selected the Random Forest algorithm to identify threats in encrypted communication traffic.

The Annals of Statistics, Vol. 43, No. 4 (August 2015), pp. 1716-1741 (26 pages) Random forests are a learning algorithm proposed by Breiman [Mach. Learn. 45 (2001) 5-32] that combines several ...

Medical datasets often present a major challenge for machine learning models: skewness in continuous variables such as age, ...

On the analytical front, machine learning and deep learning methods have become increasingly prevalent. Random forest and ...