The factory of the future is going to have a high, but not full, degree of automation. There are three reasons for that. First, no great level of automation is compatible with req...
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
With the growth of wireless and mobile technologies, we are witnessing an increase in location-based services (LBS). Although LBS provide enhanced functionalities, they open up ne...
Abstract. In this paper we present the BPAL platform that includes a logicbased language for business process (BP) modeling and a reasoning mechanism providing support for several ...
Antonio De Nicola, Michele Missikoff, Maurizio Pro...
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...