Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, ...
Likelihood cross-validation for kernel density estimation is known to be sensitive to extreme observations and heavy-tailed distributions. We propose a robust likelihood-based cross-validation method ...
Accurate positioning is vital for applications ranging from autonomous vehicles to precision agriculture, yet atmospheric disturbances often compromise Global Navigation Satellite System (GNSS) ...