We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
We introduce the mixture of Gaussian processes (MGP) model which is useful for applications in which the optimal bandwidth of a map is input dependent. The MGP is derived from the...
Abstract. Business-driven development favors the construction of process modifferent abstraction levels and by different people. As a consequence, there is a demand for consolidati...
— This paper presents an mathematical model that establishes the relation between the relevant cutting process parameters and surface quality, cutting forces and rate removal, in...
In this paper we present a novel approach for the modeling and implementation of Internal Controls in Business Processes. The approach is based on the formal modeling of Internal C...