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Probabilistic reasoning: representation and inference

The training objectives of this learning object are: 1) To represent knowledge in probabilistic terms; 2) To infer probabilistic knowledge by means of the sum amb product rules from probability calculus; 3) To apply the concept of independent variables to the representation of probabilistic knowledge; 4) To infer probabilistic knowledge by using the Bayes' theorem. Juan Císcar, A.; Civera Saiz, J.; Sanchis Navarro, JA. (2018). Probabilistic reasoning: representation and inference. http://hdl.handle.net/10251/105196

EMAS upv