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Forward and Backward algorithms

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Forward and Backward algorithms

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dc.contributor.author Juan Císcar, Alfonso es_ES
dc.contributor.author Sanchis Navarro, José Alberto es_ES
dc.contributor.author Civera Saiz, Jorge es_ES
dc.date.accessioned 2019-06-28T09:52:10Z
dc.date.available 2019-06-28T09:52:10Z
dc.date.issued 2019-06-28T09:52:10Z
dc.identifier.uri http://hdl.handle.net/10251/122821
dc.description.abstract The training objectives of the learning object are: 1) To explain the difficulty of computing the probability of a string with a Hidden Markov Model (HMM); 2) To compute the prob. of a string with the Forward algorithm; and 3) To compute the prob. of a string with the Backward algorithm. In this regard, it is worth noting that, given an HMM, both the Forward and Backward algorithms are commonly used for efficient computation of the exact probability of a string. In this learning object, these algorithms are described at a basic level with the help of simple examples. es_ES
dc.description.uri https://polimedia.upv.es/visor/?id=7ac7cf10-70b4-11e9-a7d3-3df1cef1857d es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Intelligent systems es_ES
dc.subject Machine learning es_ES
dc.subject Hidden Markov models es_ES
dc.subject Languages and computer systems es_ES
dc.subject 1203 - Computer Sciences es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Forward and Backward algorithms 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 Dificultad media es_ES
dc.lom.typicalLearningTime 15 horas 00 minutos es_ES
dc.lom.educationalDescription Learning object to introduce the Forward and Backward algorithms for Hidden Markov Models (HMMs). It is recommended as introductory material for the student to prepare a class in advance on the Forward and Backward algorithms for HMMs. It can also be used as a refresher on these algorithms and, in connection to this, it is advisable for the student to redo the very simple examples provided by hand. On the other hand, for the lecturer using this learning object as recommended material, it is convenient to supplement it by additional in-class exercises. es_ES
dc.lom.educationalLanguage Inglés es_ES
dc.upv.convocatoriaDocenciaRed 2018-2019 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.; Sanchis Navarro, JA.; Civera Saiz, J. (2019). Forward and Backward algorithms. http://hdl.handle.net/10251/122821 es_ES
dc.description.accrualMethod DER es_ES
dc.relation.pasarela DER\24752 es_ES


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