Empirical evaluation of ranking trees on some metalearning problems

• Type: Article in International Conference Proceedings Book
• Date: 2008

Authors

Rebelo, C (Author) Other; Soares, C (Author) FEP; Da Costa, JP (Author) FCUP

Conference proceedings International

Title: AAAI Workshop - Technical Report

Pages: 85-90

2008 AAAI Workshop

Chicago, IL, 13 July 2008 through 14 July 2008

Indexing

ISI Web of Knowledge

Scopus - 2 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific