We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
GINI (GINI Is Not Internet) is an open-source toolkit for creating virtual micro Internets for teaching and learning computer networking. It provides lightweight virtual elements ...
Muthucumaru Maheswaran, Alexis Malozemoff, Daniel ...
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
In his article entitled "From Play-In Scenarios to Code: An Achievable Dream", David Harel presented a development schema that makes it possible to go from high-level us...
We present a novel approach to remote traffic aggregation for Network Intrusion Detection Systems (NIDS) called Cooperative Selective Wormholing (CSW). Our approach works by select...