Objective: Currently, there is no individualized prediction model for joint function recovery after ankle fracture surgery. This study aims to develop a prediction model for poor recovery following ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Novel Machine Learning Techniques Measure Ocean Oxygen Loss More Accurately Georgia Tech researchers introduced a groundbreaking machine learning technique to improve the assessment and analysis of ...

We analyze and contrast two ways to train machine learning models for solving AC optimal power flow (OPF) problems, distinguished with the loss functions used.

Mao, A., Mohri, M. and Zhong, Y. (2023) Cross-Entropy Loss Functions Theoretical Analysis and Applications. Proceedings of the 40th International Conference on Machine Learning, Honolulu, Vol. 202, ...

Explore how Mean Squared Error (MSE) compares to other loss functions in machine learning and when it's best to use it for optimal model performance.

In a novel study, researchers from the Icahn School of Medicine at Mount Sinai introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain- and loss-of-function variants ...

The variational approach of finding the extremum of an objective functional is an alternative approach to the solution of partial differential equations in mechanics of continua. The great challenge ...