Constraint programming is rapidly becoming the technology of choice for modelling and solving complex combinatorial problems. However, users of this technology need significant ex...
We present a general-purpose framework for updating a robot’s observation model within the context of planning and execution. Traditional plan execution relies on monitoring plan...
Sonia Chernova, Elisabeth Crawford, Manuela M. Vel...
Abstract. As the information in the internet proliferates, the methods for effectively providing the information have been exploited, especially in conversational agents. Bayesian ...
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
Abstract. Discovering significant meta-information from document collections is a critical factor for knowledge distribution and preservation. This paper presents a system that im...
Floriana Esposito, Stefano Ferilli, Teresa Maria A...