Paper Open access published in Remote Sensing on February 12, 2018. Authors: Ana I. de Castro, Jorge Torres-Sánchez, José M. Peña, Francisco M. Jiménez-Brenes ...

Deployment of more and more applications on the cloud and use of the Internet demand careful attention to cyber security threats. Attacks against web applications are the most frequent challenge. To ...

Random forest (RF) methodology is a nonparametric methodology for prediction problems. A standard way to use RFs includes generating a global RF to predict all test cases of interest. In this article, ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

The most commonly used statistical models of civil war onset fail to correctly predict most occurrences of this rare event in out-of-sample data. Statistical methods for the analysis of binary data, ...