Among 8- to 9-year-olds, those with vs. without maternal gestational diabetes mellitus exposure had two reduced measures of ...

The function has two mandatory parameters: Input and Output. The function also has one optional parameter: Interpolation. The interpolation parameter can either be set to "Trilinear" or "Tetrahedral" ...

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

Create a Linear Regression Function using VPython! 🐍📈 In this video, we’ll guide you through creating a simple linear regression function to analyze data, visualizing the results with VPython. Learn ...

Background Inflammatory bowel disease (IBD) arises from complex interactions among diet, host and gut microbiome. Although diet influences intestinal inflammation, the microbial and metabolic pathways ...

With nearly two decades of retail management and project management experience, Brett Day can simplify complex traditional and Agile project management philosophies and methodologies and can explain ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Supplementary codes and data used in the paper. This package is not currently maintained and its latest version was published in November 2018 but, anyway, it can be downloaded and installed from the ...

Abstract: Regression loss function in object detection model plays an important factor during training procedure. The IoU based loss functions, such as CIOU loss, achieve remarkable performance, but ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Abstract: The random vector functional link (RVFL) neural network has shown the potential to overcome traditional artificial neural networks' limitations, such as substantial time consumption and the ...