Probabilistic reasoning: continuos variables and Bayes rules | | UPV
Автор: Universitat Politècnica de València - UPV
Загружено: 2018-10-22
Просмотров: 176
Título: Probabilistic reasoning: continuos variables and Bayes rules
Descripción: The training objectives of this learning object are: 1) To represent knowledge with continuous variables; 2) To infer knowledge from continuous variables and the Bayes
theorem; and 3) To apply the Bayes rule in general and, in particular, in the case of pattern recognition and machine learning. Juan Císcar, A.; Civera Saiz, J.; Sanchis Navarro, JA. (2018). Probabilistic reasoning: continuos variables and Bayes rules. http://hdl.handle.net/10251/105386
Autor/a: Juan Ciscar Alfons
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#probabilistic reasoning #intelligent systems #machine learning #pattern recognition #artificial intelligence #1203 - Ciencias de la Computación
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