In this paper we describe a new language for statistical data modelling, which offers a general framework for the representation of elementary and summarydata.Thereare threemain c...
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...
Recently, inductive databases (IDBs) have been proposed to tackle the problem of knowledge discovery from huge databases. With an IDB, the user/analyst performs a set of very diffe...
The development and use of ontologies may require users with no training in formal logic to handle complex concept descriptions. To aid such users, we propose a new visualization f...
Enabling an intelligent access to multimedia data requires a powerful description language. In this paper, we demonstrate why the MPEG-7 standard fails to fulfill this task. We i...