Generating realistic and responsive traffic that reflects different network conditions is a challenging problem associated with performing valid experiments in network testbeds. I...
Monia Ghobadi, Martin Labrecque, Geoffrey Salmon, ...
Ideally, enterprise administrators could specify fine-grain policies that drive how the underlying switches forward, drop, and measure traffic. However, existing techniques for fl...
Minlan Yu, Jennifer Rexford, Michael J. Freedman, ...
Expressing the similarity between musical streams is a challenging task as it involves the understanding of many factors which are most often blended into one information channel:...
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
We have previously proposed unsupervised cross-validation (CV) adaptation that introduces CV into an iterative unsupervised batch mode adaptation framework to suppress the influe...