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...
Network administrators are faced with the increasingly challenging task of monitoring their network’s health in real time, drawing upon diverse and voluminous measurement data fe...
Lukasz Golab, Theodore Johnson, Subhabrata Sen, Je...
We propose a new language-based approach to mitigating timing channels. In this language, well-typed programs provably leak only a bounded amount of information over time through ...
ct The backbone of the XML data model, namely ordered, unranked trees, is inherently recursive and it is natural to equip the associated languages with constructs that can query su...
Abstract. A multi-relational clustering method is presented which can be applied to complex knowledge bases storing resources expressed in the standard Semantic Web languages. It a...