We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
This paper proposes a demo of the TopX search engine, an extensive framework for unified indexing, querying, and ranking of large collections of unstructured, semistructured, and ...
The acquisition, sharing and reuse of knowledge is a prime challenge in large organisations. Doris is a framework for defining Knowledge Management applications based on Semantic W...
Ravish Bhagdev, Jonathan Butters, Ajay Chakravarth...
This report describes experiences of introducing executable acceptance testing in senior software engineering courses. Students in an agile environment completed a five-iteration ...