ADTmag

Project Valhalla Targets JDK 28 as Java SE Expert Group Begins Work

The Java Community Process formally launches development of Java SE 28, with Project Valhalla once again positioned as the release's most closely watched feature.
IEEE

Biased Random Forest For Dealing With the Class Imbalance Problem

Abstract: The class imbalance issue has been a persistent problem in machine learning that hinders the accurate predictive analysis of data in many real-world applications. The class imbalance problem ...
The New York Times

A Scientific Achievement That’s Totally Random

Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can. By Alexander Nazaryan Researchers in Switzerland ...
IEEE

Class-Specific Random Forest With Cross-Correlation Constraints for Spectral–Spatial Hyperspectral Image Classification

Abstract: A class-specific random forest (RF) model with cross-correlation constraints is developed for the spectral–spatial hyperspectral image (HSI) classification. The novelties of this letter are ...