Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
An interprocedural flow analysis can justify inlining in higher-order languages. In principle, more inlining can be performed as analysis accuracy improves. This paper compares fo...
Multiple target tracking (MTT) is a well-studied technique in the field of radar technology, which associates anonymized measurements with the appropriate object trajectories. This...
Nikolay Vyahhi, Spiridon Bakiras, Panos Kalnis, Ga...
Reasoning about agent preferences on a set of alternatives, and the aggregation of such preferences into some social ranking is a fundamental issue in reasoning about multi-agent ...
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...