— We consider learning in a transductive setting using instance-based learning (k-NN) and present a method for constructing a data-dependent distance “metric” using both labe...
This paper proposes to model and represent an object’s digital persona by means of a conceptual model that uses fragments of schemata that are termed data-DNA. The object may be...
Semantic Web Services facilitate activities including automatic discovery and composition of Web Services. Research initiatives such as WSMO have been developing specifications fo...
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
IP reuse is essential in embedded SoC design. IP components may be described in different modeling languages and present heterogeneous interfaces. The Tangram environment supports...
Uilian Rafael Feijo Souza, Josue Klafke Sperb, Bra...