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Perceptron algorithm for binary classification

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Perceptron algorithm for binary classification

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Juan Císcar, A.; Civera Saiz, J.; Sanchis Navarro, JA. (2019). Perceptron algorithm for binary classification. http://hdl.handle.net/10251/121157

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Title: Perceptron algorithm for binary classification
Author:
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 the learning object are: 1) To interpret linear classifiers in the binary case; 2) To apply the Perceptron algorithm in the binary case; 3) To know Novikoff¿s convergence theorem; and 4) To know ...[+]
Subjects: Intelligent systems , Machine learning , Artificial intelligence , Perceptron algorithm , Language and computer systems , 1203 - Computer Science
UNESCO code: 1203 - Ciencias de la Computación
Copyrigths: Reconocimiento (by)
Type: Objeto de aprendizaje
URL: https://polimedia.upv.es/visor/?id=14176b20-6fdf-11e9-a7d3-3df1cef1857d
Learning Resource Type: Polimedia
Educational description: Learning object to be used as an introduction to the Perceptron algorithm for binary classification.
Intended End User Role: Alumno
Context: Primer ciclo
Difficulty: Dificultad media
Interactivity Level: Muy bajo
Semantic Density: Medio
Typical Learning Time: 15 minutos
Educational language: Inglés
Access rigths: PUBLICO

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