For these problems, we apply approximation methods based on the variational principle and develop computation algorithms to derive the optimal ... We develop the so-called min-max checkpoint placement ...

The goal is to build a novel robust method based on credal networks that will combine available data and results from existing state-of-the-art methods to yield more accurate estimates for the missing ...

Abstract: Minimum cut/maximum flow algorithms on graphs have emerged as an increasingly useful tool for exactor approximate energy minimization in low-level vision. The combinatorial optimization ...

OpenJDK has been active in refining features for the upcoming JDK 25, with several Java Enhancement Proposals (JEPs) making significant strides. JetBrains has rolled out major updates to its IDEs, ...

Penman-Monteith; hyperparameter tuning; Genetic Algorithms (GAs); grid search ... To confront the observed and estimated values, the dataset is divided into two parts: 70% for training and 30% for ...