Markov Random Field (MRF) models provide a probabilistic framework for partitioning images into meaningful regions by capturing spatial dependencies among pixels or image elements. Fundamentally, an ...
Markov logic networks (MLNs) reconcile two opposing schools in machine learning and artificial intelligence: causal networks, which account for uncertainty extremely well, and first-order logic, which ...