The data replication method for the classification with reject option

• Tipo: Artigo em Revista Científica Internacional
• Data: 2013

Autores

Ricardo Sousa (Autor) Outra; Jaime S Cardoso (Autor) FEUP

Revista

Título: AI Communications

Vol. 26

Páginas: 281-302

ISSN: 0921-7126

Editora: IOS PRESS

Indexação

ISI Web of Knowledge - 5 Citações

ISI Web of Science

Scopus - 7 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia do conhecimento

Outras Informações

ID Authenticus: P-005-727

DOI: 10.3233/aic-130566

Abstract (EN): Classification is one of the most important tasks of machine learning. Although the most well studied model is the two-class problem, in many scenarios there is the opportunity to label critical items for manual revision, instead of trying to automatically classify every item. In this paper we tailor a paradigm initially proposed for the classification of ordinal data to address the classification problem with reject option. The technique reduces the problem of classifying with reject option to the standard two-class problem. The introduced method is then mapped into support vector machines and neural networks. Finally, the framework is extended to multiclass ordinal data with reject option. An experimental study with synthetic and real datasets verifies the usefulness of the proposed approach.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 22