Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...

Abstract: The present study explores the effectiveness of using Physics-Informed Neural Network (PINN) predictions as an initial guess for iterative methods in solving an inverse coefficient problem, ...

Abstract: Recommender systems are essential in digital services for helping users find relevant items. One of the main challenges faced by these systems is the problem of sparsity, where limited ...