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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Improving SVM-Linear Predictions Using CART for Example Selection
verfasst von : João M. Moreira, Alípio M. Jorge, Carlos Soares, Jorge Freire de Sousa
Erschienen in: Foundations of Intelligent Systems
Verlag: Springer Berlin Heidelberg
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This paper describes the study on example selection in regression problems using
μ
-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.