Overall efficiency of high-performance computing clusters not only relies on the computing power of the individual nodes, but also on the performance that the underlying network c...
This paper describes a new approximate approach for checking the correctness of the implementation of a protocol interface, comparing its lowlevel implementation with its high-leve...
Fulvio Corno, Matteo Sonza Reorda, Giovanni Squill...
Abstract This paper introduces cost curves, a graphical technique for visualizing the performance (error rate or expected cost) of 2-class classifiers over the full range of possib...
The interdisciplinary project uses a variety of research designs, data collection methodologies, and analysis techniques and two ballot designs to assess five commercially availab...
Paul S. Herrnson, Richard G. Niemi, Benjamin B. Be...
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
Maurizio Filippone, Francesco Masulli, Stefano Rov...