We address the problem of efficiently gathering correlated data from a wireless sensor network, with the aim of designing algorithms with provable optimality guarantees, and unders...
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
We address the issue of providing highly informative annotations using information revealed by the structured vocabularies of Gene Ontology (GO). For a target, a set of candidate ...
Personalization is a ubiquitous phenomenon in our daily online experience. While such technology is critical for helping us combat the overload of information we face, in many cas...
Abstract. E-government services usually process large amounts of confidential data. Therefore, security requirements for the communication between components have to be adhered in...