Representing the behaviour of supervised classification learning algorithms by Bayesian networks

Inza Cano, Iñaki, Larrañaga Múgica, Pedro María ORCID: https://orcid.org/0000-0003-0652-9872, Sierra Araujo, Basilio, Etxeberria Iriondo, Ramón, Lozano Alonso, José Antonio and Peña Sánchez, José María ORCID: https://orcid.org/0000-0001-9123-1020 (1999). Representing the behaviour of supervised classification learning algorithms by Bayesian networks. "Pattern Recognition Letters", v. 20 (n. 11-13); pp. 1201-1209. ISSN 0167-8655. https://doi.org/10.1016/S0167-8655(99)00095-1.

Descripción

Título: Representing the behaviour of supervised classification learning algorithms by Bayesian networks
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Pattern Recognition Letters
Fecha: Noviembre 1999
ISSN: 0167-8655
Volumen: 20
Número: 11-13
Materias:
ODS:
Palabras Clave Informales: Machine Learning, Classification learning algorithm, Joint behaviour, Bayesian networks, Structure learning
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

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Resumen

In this paper, an approach to study the nature of the classification models induced by Machine Learning algorithms is proposed. Instead of the predictive accuracy, the values of the predicted class labels are used to characterize the classification models. Over these predicted class labels Bayesian networks are induced. Using these Bayesian networks, several assertions are extracted about the nature of the classification models induced by Machine Learning algorithms.

Más información

ID de Registro: 73484
Identificador DC: https://oa.upm.es/73484/
Identificador OAI: oai:oa.upm.es:73484
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5477950
Identificador DOI: 10.1016/S0167-8655(99)00095-1
URL Oficial: https://www.sciencedirect.com/science/article/pii/...
Depositado por: Biblioteca Facultad de Informatica
Depositado el: 05 May 2023 07:32
Ultima Modificación: 08 Jun 2026 07:57