An Improved LSSVM Regression Algorithm

  title={An Improved LSSVM Regression Algorithm},
  author={Likun Hou and Qingxin Yang and Jinlong An},
  journal={2009 International Conference on Computational Intelligence and Natural Computing},
Support Vector Machine (SVM) is a new and valid machine-learning algorithm developed on statistical learning theory, and it has been used for classification, function regression, and time series prediction. Recently an extension of traditional SVM named LSSVM has been introduced. Compared with the Support Vector Machine, the Least Squares Support Vector Machine (LSSVM) lose the sparseness, which would influence the efficiency of relearning. To conclude a sparse solution, in this paper we… CONTINUE READING