We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
Abstract. We introduce a logical framework suitable to formalize structures of epistemic agents. Such a framework is based on the notion of weighted directed acyclic graphs (WDAGs)...
In the classical database world, information access has been based on a paradigm that involves structured, schema-aware, queries and tabular answers. In the current environment, h...
Background: A major goal of computational studies of gene regulation is to accurately predict the expression of genes based on the cis-regulatory content of their promoters. The d...
In this paper we describe mechanisms for execution monitoring of semantic web services, based on OWL-S. The use of semantic descriptions and ontologies is a valuable extension to ...