Improving SVM-linear predictions using CART for example selection

• Type: Article in International Scientific Journal
• Date: 2006

Authors

João M. Moreira (Author) FEUP; Alípio M. Jorge (Author) FEP; Carlos Soares (Author) FEP; Jorge Freire de Sousa (Author) FEUP

Journal

Title: Lecture Notes in Computer Science

Vol. 4203

Pages: 632-641

ISSN: 0302-9743

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 5 Citations

ISI Web of Science

Scopus - 8 Citations

INSPEC

COMPENDEX

Scientific classification

CORDIS: Technological sciences > Technology > Transport technology

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-004-PPV

DOI: 10.1007/11875604_70

Abstract (EN): This paper describes the study on example selection in regression problems using mu-SVM (Support Vector Machine) linear as prediction algorithm. The motivation case is a study done on real data for a problem of bus trip time prediction. In this study we use three different training sets: all the examples, examples from past days similar to the day where prediction is needed, and examples selected by a CART regression tree. Then, we verify if the CART based example selection approach is appropriate on different regression data sets. The experimental results obtained are promising.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10