Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Worldwide globalization increases the complexity of problem solving and decision-making, whatever the endeavor is. This calls for a more accurate and complete understanding of unde...
In response to the expressed needs of MedModel users, PROMODEL Corporation has made substantial improvements in its MedModel healthcare simulation software. Beginning with its inc...
Application of model checking to isolated software components is not directly possible because a component does not form a complete program - the problem of missing environment oc...