GULLFOSS BY SMARTSOFTCODE

Our solution is the use of advanced high-dimensional computational techniques in infinite feature space. It includes the study and the use of infinite Gaussian mixture models (with Dirichlet distribution and Dirichlet process), Bayesian mixture models (with MCMC - Gibbs sampling and Metropolis-Hastings sampling), Riemannian geometry (with an analysis of divergence characteristics using Hessian and Laplacian), Numerical optimization techniques (with Expectation Maximization, including Nelder-Mead, BFGS, and Trust-Region), uncertainty quantification (Bayesian and Karhunen-Loeve expansions and approximations), and distribution measures (with Rényi divergence and Kullback-Leibler divergence)... We would like to take this opportunity to thank our current and past funding sources. With their support, we are determined to perform our high quality research with intellectual merit and provide positive impact to the discipline and wider community... We believe there always exists a much..