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Listar por palabra clave "intelligent systems"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por palabra clave "intelligent systems"

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    Discriminant functions 
    Juan Císcar, Alfonso; Civera Saiz, Jorge; Sanchis Navarro, José Alberto (Universitat Politècnica de València, 2018-07-03)
    The training objectives of this learning object are: 1) To apply discriminant functions; 2) To compute the decision boundary between two classes; 3) To identify the type of decision boundary; 4) To compute the decision ...
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    Machine Learning and Pattern Recognition 
    Juan Císcar, Alfonso; Civera Saiz, Jorge; Sanchis Navarro, José Alberto (Universitat Politècnica de València, 2018-06-25)
    Four general definitions of Machine Learning (ML), from well-know machine learners, are first provided as an approximation to define its main objective. Siimilarly, then three general definitions of Pattern Recognition (PR), ...
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    Perceptron algorithm 
    Juan Císcar, Alfonso; Civera Saiz, Jorge; Sanchis Navarro, José Alberto (Universitat Politècnica de València, 2018-06-25)
    Linear classifiers, that is, classifiers based on linear discriminant functions, are formally introduced first. Then, a well-known learning technique, the so-called Perceptron algorithm, is described for general multiclass ...
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    Probabilistic reasoning: continuos variables and Bayes rules 
    Juan Císcar, Alfonso; Civera Saiz, Jorge; Sanchis Navarro, José Alberto (Universitat Politècnica de València, 2018-07-06)
    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 ...
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    Probabilistic reasoning: representation and inference 
    Juan Císcar, Alfonso; Civera Saiz, Jorge; Sanchis Navarro, José Alberto (Universitat Politècnica de València, 2018-07-03)
    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 ...