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Probabilistic reasoning: continuos variables and Bayes rules

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Probabilistic reasoning: continuos variables and Bayes rules

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Juan Císcar, A.; Civera Saiz, J.; Sanchis Navarro, JA. (2018). Probabilistic reasoning: continuos variables and Bayes rules. http://hdl.handle.net/10251/105386

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Title: Probabilistic reasoning: continuos variables and Bayes rules
Author: Juan Císcar, Alfonso Civera Saiz, Jorge Sanchis Navarro, José Alberto
UPV Unit: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
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 ...[+]
Subjects: probabilistic reasoning , intelligent systems , machine learning , pattern recognition , artificial intelligence
UNESCO code: 1203 - Ciencias de la Computación
Copyrigths: Reconocimiento (by)
Publisher:
Universitat Politècnica de València
Type: Objeto de aprendizaje
URL: https://polimedia.upv.es/visor/?id=7974bac0-600b-11e8-aab9-a1a4e108f2ab
Learning Resource Type: Polimedia
Educational description: Learning object to introduce probabilistic reasoning that needs to be supplemented by class exercises.
Intended End User Role: Alumno
Context: Primer ciclo
Difficulty: Fácil
Interactivity Level: Muy bajo
Semantic Density: Medio
Typical Learning Time: 20 minutos
Educational language: Inglés
Access rigths: PUBLICO

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