Background: In the last decades, microarray technology has spread, leading to a dramatic increase of publicly available datasets. The first statistical tools developed were focuse...
Paolo G. V. Martini, Davide Risso, Gabriele Sales,...
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
While research on articulated human motion and pose estimation has progressed rapidly in the last few years, there has been no systematic quantitative evaluation of competing meth...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
—Evaluating the performance of a classification algorithm critically requires a measure of the degree to which unseen examples have been identified with their correct class lab...
Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno ...