Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton...
ABSTRACT: In the context of Internet-based applications where heterogeneous, legacy entities should integrate and cooperate, the efficiency of the software production process is a ...
Abstract. The appearance of an object greatly changes under different lighting conditions. Even so, previous studies have demonstrated that the appearance of an object under varyin...
Refinement operators for theories avoid the problems related to the myopia of many relational learning algorithms based on the operators that refine single clauses. However, the n...
Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, ...
All analytical and simulation research on ad hoc wireless networks must necessarily model radio propagation using simplifying assumptions. Although it is tempting to assume that a...
David Kotz, Calvin C. Newport, Robert S. Gray, Jas...