Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...
1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
The bregr package provides a streamlined, modular workflow for batch regression modeling. The process begins with installation and initialization, followed by core modeling steps such as setting ...
. ├── app/ # FastAPI application ├── train/ # Training scripts ├── assets/images/ # Images, diagrams ├── requirements.txt # Python dependencies ├── Dockerfile ├── .env.dist # Sample environment ...
Startup Z.ai, formerly known as Zhipu, announced Monday that its new GLM-4.5 AI model would cost less than DeepSeek to use. Like DeepSeek, the new model is also open source and can be downloaded for ...
† Excluding children with target INR above 3. ‡ Results presented as means. § Genotyping for variant alleles *2 and *3 only except in validation dataset, which also included test for *5, *6 and *11 ¶ ...
ABSTRACT: Over the past ten years, there has been an increase in cardiovascular disease, one of the most dangerous types of disease. However, cardiovascular detection is a technique that analyzes data ...
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