Previous study has shown that mining frequent patterns with length-decreasing support constraint is very helpful in removing some uninteresting patterns based on the observation t...
The crossover bias theory for bloat [18] is a recent result which predicts that bloat is caused by the sampling of short, unfit programs. This theory is clear and simple, but it ...
Riccardo Poli, Nicholas Freitag McPhee, Leonardo V...
In this paper, we propose and prove correct a distributed stabilizing implementation of an overlay, called DR-tree, optimized for efficient selective dissemination of information...
Modern microprocessor designs continue to obtain impressive performance gains through increasing clock rates and advances in the parallelism obtained via micro-architecture design...
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...