Abstract: In the context of earthquake prediction, the purpose of this study is to evaluate the accuracy of the Linear Regression Algorithm in comparison to Poisson regression. The linear regression ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...
Abstract: This paper is a novel approach to improving the accuracy of wind power generation predictions by using linear regression (LR) algorithm differentiated with the Lasso regression (LaR). The ...
Amazon Web Services on Tuesday announced three new AI agents it calls “frontier agents,” including one designed to learn how you like to work and then operate on its own for days. Each of these agents ...
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 ...
Vibe coding — the fast-growing trend of using generative AI to spin up code from plain-language prompts — is quick, creative, and great for instant prototypes. But many argue that it's not cut out for ...
1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and ...
The International Classification of Diseases (ICD) 10 code L80 demonstrated high accuracy for identifying vitiligo, with a positive predictive value (PPV) of 95% for single code use and 99% with at ...
The "lookup-before-coding" method allows AI to review past cases, improving ICD code accuracy and outperforming physicians and baseline AI models. Smaller open-source AI models, when using the lookup ...
A new study from researchers at the Mount Sinai Health System suggests that a simple tweak to how artificial intelligence (AI) assigns diagnostic codes could significantly improve accuracy, even ...
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