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ICML
2007
IEEE
16 years 8 months ago
The matrix stick-breaking process for flexible multi-task learning
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
Ya Xue, David B. Dunson, Lawrence Carin
ICML
2006
IEEE
16 years 8 months ago
The relationship between Precision-Recall and ROC curves
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datas...
Jesse Davis, Mark Goadrich
WWW
2009
ACM
16 years 7 months ago
A method of analyzing credibility based on LOD control of digital maps
Digital maps are widely used and appear on all types of platforms for integrating content. Users can change display region and scale by panning, zooming in, and zooming out on a d...
Daisuke Kitayama, Ryong Lee, Kazutoshi Sumiya
WWW
2007
ACM
16 years 7 months ago
Detecting near-duplicates for web crawling
Near-duplicate web documents are abundant. Two such documents differ from each other in a very small portion that displays advertisements, for example. Such differences are irrele...
Gurmeet Singh Manku, Arvind Jain, Anish Das Sarma
WWW
2005
ACM
16 years 7 months ago
The classroom sentinel: supporting data-driven decision-making in the classroom
Whereas schools typically record mounds of data regarding student performance, attendance, and other behaviors over the course of a school year, rarely is that data consulted and ...
Mark K. Singley, Richard B. Lam