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The Bakersfield Californian28d
MicroAlgo Inc. Researches Quantum Machine Learning Algorithms to Accelerate Machine Learning Tasks
20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated with machine learning to explore practical application ...
IEEE27d
Classification Task-Driven Hyperspectral Band Selection via Interpretability From XGBoost
To this end, this article proposes a supervised BS method, named classification task-driven hyperspectral BS via interpretability from XGBoost (XGBS). It leverages prior knowledge to train a ...
TechRepublic4d
TechRepublic Resource Library
Why wouldn’t you want to be as informed about your systems? Fortunately, Linux has a good amount of commands for this very task. Constantly Updated — The download contains the latest and most ...
GitHub19d
ECG Heartbeat Classification Using XGBoost and Metaheuristic Optimization
This project applies various machine learning models—especially XGBoost—to classify ECG ... Advanced metaheuristic optimization algorithms are used to enhance model performance, focusing on ...
C&EN1d
XGBoost: An Optimal Machine Learning Model with Just Structural Features to Discover MOF Adsorbents of Xe/Kr
Get article recommendations from ACS based on references in your Mendeley library. Pair your accounts. Export articles to Mendeley Get article recommendations from ACS based on references in your ...
Frontiers13d
Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China
The algorithm relies on two key parameters: grid size and classification threshold. In order to take into account the efficiency and the integrity of the ground retention details, the grid size is set ...