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dc.contributor.author | Juan Císcar, Alfonso | es_ES |
dc.contributor.author | Civera Saiz, Jorge | es_ES |
dc.contributor.author | Sanchis Navarro, José Alberto | es_ES |
dc.date.accessioned | 2018-06-25T06:31:13Z | |
dc.date.available | 2018-06-25T06:31:13Z | |
dc.date.issued | 2018-06-25T06:31:13Z | |
dc.identifier.uri | http://hdl.handle.net/10251/104577 | |
dc.description.abstract | 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), by three renowned authors, are discussed. These discussions are followed be an introduction of the main paradigm for ML/PR systems: the classification paradigm. It is illustrated by a simple OCR example, which is also the used to describe the conventional structure of a classifier and the two conventional learning methods. Later, a few, outstanding application examples of ML/PR systems are given, and the presentation ends by providing references to cited authors. The training objectives are: 1) To define machine learning and pattern recognition; 2) To interpret the classification paradigm and the conventional classifier structure; 3) To understand the conventional learning methods; and 4) To know some pattern recognition applications. | es_ES |
dc.description.uri | https://polimedia.upv.es/visor/?id=f0d04f30-63ee-11e8-aab9-a1a4e108f2ab | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Universitat Politècnica de València | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | artificial intelligence | es_ES |
dc.subject | intelligent systems | es_ES |
dc.subject | machine learning | es_ES |
dc.subject | pattern recognition | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Machine Learning and Pattern Recognition | es_ES |
dc.type | Objeto de aprendizaje | es_ES |
dc.lom.learningResourceType | Polimedia | es_ES |
dc.lom.interactivityLevel | Muy bajo | es_ES |
dc.lom.semanticDensity | Medio | es_ES |
dc.lom.intendedEndUserRole | Alumno | es_ES |
dc.lom.context | Primer ciclo | es_ES |
dc.lom.difficulty | Fácil | es_ES |
dc.lom.typicalLearningTime | 20 minutos | es_ES |
dc.lom.educationalDescription | This learning object is desgined to learn just by watching. As an introductory object to Machine Learning and Pattern Recognition, it can be complemented by answering (test) questions in class. | es_ES |
dc.lom.educationalLanguage | Inglés | es_ES |
dc.upv.convocatoriaDocenciaRed | 2017-2018 | es_ES |
dc.upv.ambito | PUBLICO | es_ES |
dc.subject.unesco | 1203 - Ciencias de la Computación | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.description.bibliographicCitation | Juan Císcar, A.; Civera Saiz, J.; Sanchis Navarro, JA. (2018). Machine Learning and Pattern Recognition. http://hdl.handle.net/10251/104577 | es_ES |
dc.description.accrualMethod | DER | es_ES |
dc.relation.pasarela | DER\20976 | es_ES |