Multi-output LS-SVR machine in extended feature space

Abstract

Support Vector Regression machine is usually used to predict a single output. Previous multi-output regression problems are dealt with by building up multiple independent single-output regression models. Taking into account the correlations between multi-outputs, a new method for constructing a multi-output model directly is presented. By extending the… (More)

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@article{Zhang2012MultioutputLM, title={Multi-output LS-SVR machine in extended feature space}, author={Wei Zhang and Xianhui Liu and Yi Ding and Deming Shi}, journal={2012 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA) Proceedings}, year={2012}, pages={130-134} }