Nature

Feature selection for data-driven seasonal forecasts of European heatwaves

The early warning of heatwaves using seasonal forecasting systems has the potential to mitigate economic losses and risk to life. Because of the limited reliability and computational expense of ...
Nature

Bayesian Hyper-LASSO Classification for Feature Selection with Application to Endometrial Cancer RNA-seq Data

Feature selection is demanded in many modern scientific research problems that use high-dimensional data. A typical example is to identify gene signatures that are related to a certain disease from ...
InfoWorld

Machine learning: Demystifying linear regression and feature selection

Businesspeople need to demand more from machine learning so they can connect data scientists’ work to relevant action. This requires basic machine learning literacy — what kinds of problems can ...