GitHub

Variable Selection Using Random Forests

R package, implementing a three steps variable selection procedure based on random forests. Initially developed to handle high dimensional data (for which number of variables largely exceeds number of ...
IEEE

2-D Joint High-Resolution ISAR Imaging With Random Missing Observations via Cyclic Displacement Decomposition-Based Efficient SBL

Abstract: In this article, the efficient sparse Bayesian learning (SBL)-based 2-D joint high-resolution inverse synthetic aperture radar (ISAR) imaging approach with random missing observations in ...
GitHub

Random123: a Library of Counter-Based Random Number Generators

The Random123 library is a collection of counter-based random number generators ( "CBRNGs") for CPUs (C and C++) and GPUs (CUDA and OpenCL), as described in Parallel Random Numbers: As Easy as 1, 2, 3 ...
IEEE

Two-Dimensional-Reduction Random Forest

Abstract: Random forest (RF) is a competitive machine learning theorem, while one of the big challenges for it is imbalanced real-world data. A Two-dimensional-reduction RF (2DRRF) is presented in ...