Bootstrapping with Noise: An Effective Regularization Technique
Bootstrap samples with noise are shown to be an effective smoothness and capacity control technique for training feedforward networks and for other statistical methods such as g...
Bootstrap samples with noise are shown to be an effective smoothness and capacity control technique for training feedforward networks and for other statistical methods such as g...
h-index: Number of publications with at least h citations each.