A constrained conditional model is a machine learning framework that combines conditional probabilistic or discriminative modeling with explicit declarative constraints. It allows predictions to respect domain rules, structural relationships, or consistency requirements.
A machine learning and inference framework that augments the learning of conditional (probabilistic or discriminative) models with declarative constraints.