Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
This paper focuses on in-process measurements during requirements definition where measurements of processes and products are relatively difficult. However, development processes ...
Yoshiki Mitani, Tomoko Matsumura, Mike Barker, Sei...
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Aggregated search is the task of incorporating results from different specialized search services, or verticals, into Web search results. While most prior work focuses on deciding...
Jaime Arguello, Fernando Diaz, Jamie Callan, Ben C...
Search engine result pages (SERPs) are known as the most expensive real estate on the planet. Most queries yield millions of organic search results, yet searchers seldom look beyon...