Empirical evaluation of ranking trees on some metalearning problems

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2008

Autores

Rebelo, C (Autor) Outra; Soares, C (Autor) FEP; Da Costa, JP (Autor) FCUP

Ata de Conferência Internacional

Título: AAAI Workshop - Technical Report

Páginas: 85-90

2008 AAAI Workshop

Chicago, IL, 13 July 2008 through 14 July 2008

Indexação

ISI Web of Knowledge

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-007-Q7A

Abstract (EN): The problem of learning rankings is receiving increased attention from several research communities. In this paper we empirically evaluate an adaptation of the algorithm of learning decision trees for rankings. Our experiments are carried out on some metalearning problems, which consist of relating characteristics of learning problems to the relative performance of learning algorithms. We obtain positive results which, somewhat surprisingly, indicate that the method predicts more accurately the top ranks. Copyright © 2008, Association for the Advancement of Artificial Intelligence.

Idioma: Inglês

Tipo (Avaliação Docente): Científica