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Error estimation in pattern recognition

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Error estimation in pattern recognition

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Juan Císcar, A.; Sanchis Navarro, JA.; Civera Saiz, J. (2019). Error estimation in pattern recognition. http://hdl.handle.net/10251/121299

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Title: Error estimation in pattern recognition
Author: Juan Císcar, Alfonso Sanchis Navarro, José Alberto Civera Saiz, Jorge
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:
The main training objective of the learning object is to introduce some of the most popular estimators for classification error: resubstitution, holdout, K-fold cross validation, bootstrap and repeated variants for holdout ...[+]
Subjects: Pattern recognition , Machine learning , Artificial intelligence , Classifier error , Resubstitution estimator , Holdout estimator , K-fold cross validation estimator , Bootstrap estimator , Bias and variability in error estimation
UNESCO code: 1203 - Ciencias de la Computación
Copyrigths: Reconocimiento (by)
Universitat Politècnica de València
Type: Objeto de aprendizaje
URL: https://polimedia.upv.es/visor/?id=108cee50-70af-11e9-a7d3-3df1cef1857d
Learning Resource Type: Polimedia
Educational description: Learning object to introduce classifier error estimation that needs to be supplemented by class exercises. It is also advisable to first study the resubstitution and holdout estimators at a very basic level, with the help of simple examples if possible.
Intended End User Role: Alumno
Context: Primer ciclo
Difficulty: Dificultad media
Interactivity Level: Muy bajo
Semantic Density: Alto
Typical Learning Time: 15 horas 00 minutos
Educational language: Inglés
Access rigths: PUBLICO



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