This paper describes the ADO.NET Entity Framework, a platform for programming against data that raises the level of ion from the logical (relational) level to the conceptual (enti...
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...
In this paper, we introduce a probabilistic relational data model as the basis for developing multi-agent probabilistic reasoning systems. Since our model subsumes the traditional...
In this article, we present the GI-Cat web service: a SOAP-based service which provides the basic functionalities for GI dataset cataloguing and access. The introduced GI-Cat data...
Lorenzo Bigagli, Stefano Nativi, Paolo Mazzetti, G...
This paper discusses a model of quantum associative memory which generalizes the completing associative memory proposed by Ventura and Martinez. Similar to this model, our system ...