Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
This paper revisits a much explored topic in networking – the search for a simple yet fully-general multicast design. The many years of research into multicast routing have led ...
Sylvia Ratnasamy, Andrey Ermolinskiy, Scott Shenke...
Background: Direct in vivo investigation of human metabolism is complicated by the distinct metabolic functions of various sub-cellular organelles. Diverse micro-environments in d...
We propose a method for delivering error-resilient video from wireless camera networks in a distributed fashion over lossy channels. Our scheme is based on distributed source codi...
—Clustering techniques create hierarchal network structures, called clusters, on an otherwise flat network. In a dynamic environment—in terms of node mobility as well as in ter...
Matthias R. Brust, Adrian Andronache, Steffen Roth...