Kernel-based neural network (KNN) is proposed as a neuron that is applicable in online learning with adaptive parameters. This neuron with adaptive kernel parameter can classify data accurately instead of using a multilayer error backpropagation...

While GPUs are meantime omnipresent for many scientific and technical computations, they still continue to evolve as processors. An important recent feature is the ability to execute multiple kernels concurrently via queue streams. However...

This paper comments on the published work dealing with robustness and regularization of support

vector machines (Journal of Machine Learning Research, Vol. 10, pp. 1485-1510, 2009) by H. Xu

et al. They proposed ...