New boosting methods of Gaussian processes for regression

  title={New boosting methods of Gaussian processes for regression},
  author={Yangqiu Song and Changshui Zhang},
  journal={Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.},
  pages={1142-1147 vol. 2}
Feedforward neural networks are popular tools for nonlinear regression and classification problems. Gaussian Process (GP) can be viewed as an RBF neural network which have infinite number of hidden neurons. On regression problems, they can predict both the mean value and the variance of the given sample. Boosting is one of the most important recent… CONTINUE READING