This paper studies a multi-classification method based on support vector machine for temporal data. First, we give classic classification model of support vector machine. Then, we present a support vector machine model based on multi-weighted values, which is used to deal with multi-classification problems of temporal data. We define temporal type and prediction model for the temporal data. According to the temporal type model and the support vector machine model based on multi-weighted values, we propose a multi-classification method based on the support vector machine. Finally, experiments results show that our method can effectively solve the misclassification problems of temporal data. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Meng, Z., Peng, L., Zhou, G., & Zhu, Y. (2007). A multi-classification method of temporal data based on support vector machine. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4456 LNAI, pp. 240–249). Springer Verlag. https://doi.org/10.1007/978-3-540-74377-4_26
Mendeley helps you to discover research relevant for your work.