Probability Distribution Methods to Predict Stock Profits

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
IEEE

A Novel Discrete Hybrid Dual Random SVPWM Scheme for Reducing PMSM Harmonic Intensity

Abstract: Aiming at suppressing the switching frequen- cy harmonics, a novel discrete hybrid dual random control (DHDRC) technique is proposed in this article. Based on the space vector pulsewidth ...
Tech Xplore on MSN

Discrete spatial diffusion models data while obeying scientific principles

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
IEEE

CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection With Low Complexity

Abstract: Following the great success of Machine Learning (ML), especially Deep Neural Networks (DNNs), in many research domains in 2010s, several ML-based approaches were proposed for detection 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 ...
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 ...