Multi-observer segmentation evaluation is useful in the imaging community. We have developed a web-based software application for automatic performance evaluation of multiple imag...
Yaoyao Zhu, Xiaolei Huang, Daniel P. Lopresti, L. ...
We initiate the study of incentives in a general machine learning framework. We focus on a game-theoretic regression learning setting where private information is elicited from mu...
The work in this paper is directed towards sophisticated formalisms for reasoning under probabilistic uncertainty in ontologies in the Semantic Web. Ontologies play a central role...
Background: The preprocessing of gene expression data obtained from several platforms routinely includes the aggregation of multiple raw signal intensities to one expression value...
People increasingly rely on social networking websites to initiate personal and professional relationships. This requires that a considerable amount of trust be placed in stranger...