This paper considers the problem of computing Bayesian estimates of both...
This paper addresses Bayesian system identification using a Markov Chain...
Energy resolved neutron transmission techniques can provide high-resolut...
We present an approach to designing neural network based models that wil...
Deep kernel learning refers to a Gaussian process that incorporates neur...
A Bayesian filtering algorithm is developed for a class of state-space
s...