We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
Overlapping communication with computation is an important optimization on current cluster architectures; its importance is likely to increase as the doubling of processing power ...
Wei-Yu Chen, Dan Bonachea, Costin Iancu, Katherine...
At the University of Missouri – Columbia’s Information and Access Technology (IAT) Services, InfoTech Training compares the results of their IT training program with similar t...
We describe the Slice Processor micro-architecture that implements a generalized operation-based prefetching mechanism. Operation-based prefetchers predict the series of operation...
Andreas Moshovos, Dionisios N. Pnevmatikatos, Amir...
An expert finding is a very common task among enterprise search activities, while its usual retrieval performance is far from the quality of the Web search. Query modeling helps t...