Configurable process models integrate different variants of a business process into a single model. Through configuration users of such models can then combine the variants to deri...
Florian Gottschalk, Teun A. C. Wagemakers, Monique...
This paper proposes an interpolating extension to hidden Markov models (HMMs), which allows more accurate modeling of natural sounds sources. The model is able to produce observat...
Bayesian classifiers such as Naive Bayes or Tree Augmented Naive Bayes (TAN) have shown excellent performance given their simplicity and heavy underlying independence assumptions....
Abstract. Business process models play an important role for the management, design, and improvement of process organizations and processaware information systems. Despite the exte...
Jan Mendling, Gustaf Neumann, Wil M. P. van der Aa...
Background: The construction of complex spatial simulation models such as those used in network epidemiology, is a daunting task due to the large amount of data involved in their ...