Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Federated simulations address the need for interoperability, as well as the improvement of reuse and composability of existing simulation models. The focal goal in a federated sim...
To realize the potential of opportunistic and participatory sensing using mobile smartphones, a key challenge is ensuring the ease of developing and deploying such applications, w...
Tathagata Das, Prashanth Mohan, Venkata N. Padmana...
ABSTRACT. Canonical models are of central importance in modal logic, in particular as they witness strong completeness and hence compactness. While the canonical model construction...
In this paper we explore the notion of a \signing" of a logic program, in the framework of the answer set semantics. In particular, we generalize and extend the notion of a s...