Ensemble Kalman inversion (EKI) has been a very popular algorithm used in Bayesian inverse problems (Iglesias et al. Inverse Probl 29: 045001, 2013). It samples particles from prior distribution and introduces motion to move the around pseudo-time. As pseudo-time goes infinity, method finds minimizer of objective function, when stops at 1, ensemble resembles, some sense, posterior linear settin...

The results of dig limit delineation in open pit mining are never truly optimized due to gaps the underlying data, such as insufficient sampling. Aside from data uncertainty, there is also an influence on final by either humans or heuristic character optimization method like simulated annealing. Several optimizers have been published, which can replace manual dig-limits designing process. Howev...

While computer programs and logical theories begin by declaring the concepts of interest, be it as data types or as predicates, network computation does not allow such global declarations, and requires concept mining and concept analysis to extract shared semantics for different network nodes. Powerful semantic analysis systems have been the drivers of nearly all paradigm shifts on the web. In ...