Group-Lasso estimators, useful in many applications, suffer from lack of meaningful variance estimates for regression coefficients. To overcome such problems, we propose a full Ba...
Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edga...
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Intelligent tutoring systems have demonstrated their utility in a variety of domains. However, they are notoriously resource intensive to build. We report here on the development ...
Viswanathan Kodaganallur, Rob R. Weitz, David Rose...
This paper proposes a multiagent based virtual community as a new means to support pervasive computing services. We give a conceptual definition of the concept of Place-Based Virt...
Tuan Nguyen, Seng Wai Loke, Torab Torabi, Hongen L...
Abstract. With the advent of Service Oriented Architecture organizations have experienced services as a platform-independent technology to develop and use simple internal applicati...
Devis Bianchini, Cinzia Cappiello, Valeria De Anto...