Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyv...
Grid computing is emerging as a new infrastructure to provide collaborative and secure resource sharing over multiple geographically distributed organizations. In this scenario, r...
Tania Gomes Ramos, Alba Cristina Magalhaes Alves d...
Service discovery in Mobile Ad Hoc Networks is an essential process in order for these networks to be selfconfigurable. In this paper we argue that Service Discovery can be greatl...
We describe a novel framework developed for transfer learning within reinforcement learning (RL) problems. Then we exhibit how this framework can be extended to intelligent tutorin...
Kimberly Ferguson, Beverly Park Woolf, Sridhar Mah...
Formal concept analysis (FCA) comprises a set of powerful algorithms which can be used for data analysis and manipulation, and a set of visualisation tools which enable the discove...