Abstract: As an emerging machine learning task, high-dimensional hyperparameter optimization (HO) aims at enhancing traditional deep learning models by simultaneously optimizing the neural networks’ ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Wu, H. and Madisetti, V. (2025) SAGENT: An Intelligent System for the Management of Complex Workflows . Journal of Software Engineering and Applications, 18, 542-563. doi: 10.4236/jsea.2025.1812031 .
Abstract: Decision trees in machine learning achieved satisfactory performance in classification. Decision trees offer the advantage of handling high-dimensional and complexly correlated data through ...
In 2023, OpenAI trained GPT-4 on Microsoft Azure AI supercomputers using tens of thousands of tightly interconnected NVIDIA GPUs optimized for massive-scale distributed training. This scale ...
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