Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
The application of Evolutionary Algorithms to structural test data generation, known as Evolutionary Testing, has to date largely focused on programs with input-output behavior. H...
One important trend in enterprise-scale IT has been the increasing use of business-to-business integration (B2Bi) technologies to automate business processes that cross organisati...
Dean Kuo, Alan Fekete, Paul Greenfield, Julian Jan...
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
We present HybridOS, a set of operating system extensions for supporting fine-grained reconfigurable accelerators integrated with general-purpose computing platforms. HybridOS spe...