Построение и методы обучения байесовских сетей

This analytical literature review discusses different methods under the general rubric of learning Bayesian networks from data. The basic concepts of Bayesian networks and their learning methods are introduced and reviewed. The methods are discussed for learning parameters of a probabilistic network, for learning the structure, and for learning hidden variables. Basic definition and key concepts with appropriate illustrative examples are presented.