This paper describes our experience developing a semantically-rich exploratory interface that integrates a suite of Newsfilm media sources and associated information. Indeed, the a...
Daniel A. Smith, Alisdair Owens, m. c. schraefel, ...
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
d to submit first an abstract (to signal your interest and contribution) and then a full paper (for review) to the workshop. All accepted papers will be published as a volume from ...
The ability to create reliable and scalable virtual organisations (VOs) on demand in a dynamic, open and competitive environment is one of the major challenges that underlie Grid ...
Jigar Patel, W. T. Luke Teacy, Nicholas R. Jenning...
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...