This paper describes a new architecture for achieving network virtualization using virtual NICs (VNICs) as the building blocks. The VNICs can be associated with dedicated and inde...
Sunay Tripathi, Nicolas Droux, Thirumalai Srinivas...
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
The increased complexity of performance-sensitive software systems leads to increased use of automated adaptation policies in lieu of manual performance tuning. Composition of ada...
Jin Heo, Dan Henriksson, Xue Liu, Tarek F. Abdelza...
A general model is proposed for studying ranking problems. We investigate learning methods based on empirical minimization of the natural estimates of the ranking risk. The empiric...
Recent advances in large-margin classification of data residing in general metric spaces (rather than Hilbert spaces) enable classification under various natural metrics, such as ...
Lee-Ad Gottlieb, Leonid Kontorovich, Robert Krauth...