—Traditional approaches for wireless sensor network diagnosis are mainly sink-based. They actively collect global evidences from sensor nodes to the sink so as to conduct central...
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
In this paper we conduct an extensive and in-depth study of traffic exchanged between YouTube data centers and its users, as seen from the perspective of a tier-1 ISP in Spring 20...
Background: Illumina’s Infinium SNP BeadChips are extensively used in both small and large-scale genetic studies. A fundamental step in any analysis is the processing of raw all...
Matthew E. Ritchie, Ruijie Liu, Benilton Carvalho,...