Techniques for reliably estimating development efforts are a fundamental requirement for a wide-scale dissemination of ontologies in business contexts. In this paper we account fo...
A bio-inspired language is presented. Its terms are processes enclosed into boxes with typed interaction sites. The main feature of the formalism lays in the fact that the key-loc...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
In the era of digital information, the value of data resides not only in its volume and quality, but also in the additional information that can be inferred from the combination (a...
Daniele Braga, Francesco Corcoglioniti, Michael Gr...
We propose a novel mixtures of Gaussian processes model in which the gating function is interconnected with a probabilistic logical model, in our case Markov logic networks. In th...