No matter what kind of traditional HPC simulation and modeling system you have, no matter what kind of fancy new machine learning AI system you have, IBM has an appliance that it wants to sell you to ...

We apply a linear Bayesian model to seismic tomography, a high-dimensional inverse problem in geophysics. The objective is to estimate the three-dimensional structure of the earth's interior from data ...

This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...

This is a preview. Log in through your library . Abstract Bayesian optimization is incorporated into genomic prediction to identify the best genotype from a candidate population. Several expected ...