In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
System-on-Chip (SOC) and other complex distributed hardware/software systems contain heterogeneous components such as DSPs, micro-controllers, application specific logic etc., whi...
Deepak Mathaikutty, Hiren D. Patel, Sandeep K. Shu...
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
Location is one of the most important elements of context in ubiquitous computing. In this paper we describe a location model, a spatial-aware communication model and an implement...
This paper proposes an ontology mapping based framerowk that allows searching for web resources using multiple ontologies. The proposed solution uses a mapping ontology that is a ...