Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Traffic grooming continues to be a rich area of research in the context of WDM optical networks. We provide an overview of the optical and electronic grooming techniques available...
Abstract-- With the prevalence of multi-user environments, it has become an increasingly challenging task to precisely identify who is doing what on an enterprise network. Current ...
Qi Liao, Andrew Blaich, Aaron Striegel, Douglas Th...
The growing software content in various battery-driven embedded systems has led to significant interest in technologies for energy-efficient embedded software. While lowenergy sof...