IEEE

A Biselection Method Based on Consistent Matrix for Large-Scale Datasets

Abstract: Biselection (feature and sample selection) enhances the efficiency and accuracy of machine learning models when handling large-scale data. Fuzzy rough sets, an uncertainty mathematical model ...
Hosted on MSN

You should learn this trick — a simple method that changes everything

This simple but powerful trick can completely change how you approach problems, saving time and reducing confusion. Learn the clear method behind it, why it works so well, and how to apply it across ...
IEEE

Double-Regularized Dictionary Learning and Low-Rank Matrix Factorization for Hyperspectral Anomaly Detection

Abstract: The tensor-subspace-representation-based (TSR) methods have been proposed to enhance the hyperspectral anomaly detection (HAD) performance. However, the existing TSR-based detectors only ...
GitHub

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...
Hosted on MSN

5 methods to learn English (or any language!)

Want to learn English more effectively? This video covers five strategies used by successful language learners around the world. We go through practical techniques like immersion, repetition, and ...