Abstract: This study explores the development of an efficient Intrusion Detection System (IDS) utilizing Naive Bayes Classification augmented with Kernel Density Estimation(KDE). The integration of ...
I would like to the pass the tool call error message back to the LLM so that the LLM can correct itself. Is that possible? Pydantic AI supports something similar ...
Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
Abstract: To effectively address the challenges of undersampling techniques when handling imbalanced data, a new undersampling ensemble learning algorithm based on Kernel Density Estimation (KDEE) is ...
Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...
Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning 110016, China College of Medicine and Biological Information Engineering, Northeastern University, ...
Purpose: This study introduces two-dimensional (2D) Kernel Density Estimation (KDE) plots as a novel tool for visualising Training Intensity Distribution (TID) in biathlon. The goal was to assess how ...
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