An ordinal data method for the classification with reject option

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2009

Autores

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

Ata de Conferência Internacional

Título: EIGHTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS

Páginas: 746-750

8th International Conference on Machine Learning and Applications

Miami Beach, FL, DEC 13-15, 2009

Indexação

ISI Web of Knowledge - 6 Citações

ISI Web of Science

Scopus - 10 Citações

INSPEC

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-003-PR9

DOI: 10.1109/icmla.2009.11

Abstract (EN): In this work we consider the problem of binary classification where the classifier may abstain instead of classifying each observation, leaving the critical items for human evaluation. This article motivates and presents a novel method to learn the reject region on complex data. Observations are replicated and then a single binary classifier determines the decision plane. The proposed method is an extension of a method available in the literature for the classification of ordinal data. Our method is compared with standard techniques on synthetic and real datasets, emphasizing the advantages of the proposed approach.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5