A Kernel-Expanded Stochastic Neural Network. (arXiv:2201.05319v1 [stat.ML])

The deep neural network suffers from many fundamental issues in machine
learning. For example, it often gets trapped into a local minimum in training,
and its prediction uncertainty is hard to be assessed. To address these issues,
we propose the so-called kernel-expanded stochastic neural network (K-StoNet)
model, which incorporates support vector regression (SVR) as the first hidden
layer and reformulates the neural network as a latent variable model. The
former maps the input vector into an infinite dimensional feature space …

arxiv kernel ml network neural network stochastic