Method: This study employed a quantile ... regression results, focusing on significant variables. The graphs display individual coefficients with a 95% confidence interval. Within Annexure A, the ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

We propose an EVT-based adaptive quantile loss function that integrates EVT into the loss function of the deep recurrent neural networks (DRNNs) with gated recurrent units (GRUs) to predict extreme ...

Controlling weight and cardiovascular risk factors is paramount in type 2 diabetes management; however, the definition and feasibility of remission warrant closer examination. Type 2 diabetes ...

AlphaGrad is the first method to automatically adjust multi-loss functions with differing metric scales, including mean square error, cross-entropy, and deep metric learning, within the context of ...

Iron is an essential nutrient that has a variety of functions in the body. It’s necessary for making red blood cells and transporting oxygen throughout the body. Vitamin C supplements can help ...

This repository contains a complete training pipeline to analyze and compare different bounding box regression loss functions in the context of object detection. The primary focus is on understanding ...