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ICML
2007
IEEE
16 years 7 months ago
Self-taught learning: transfer learning from unlabeled data
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 ...
SIGCSE
2009
ACM
149views Education» more  SIGCSE 2009»
16 years 6 months ago
GINI: a user-level toolkit for creating micro internets for teaching & learning computer networking
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 ...
ICML
2009
IEEE
16 years 29 days ago
Using fast weights to improve persistent contrastive divergence
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...
Tijmen Tieleman, Geoffrey E. Hinton
ISORC
2009
IEEE
16 years 24 days ago
From Requirements to Code Revisited
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...
Tewfik Ziadi, Xavier Blanc, Amine Raji
RAID
2007
Springer
16 years 8 days ago
Vortex: Enabling Cooperative Selective Wormholing for Network Security Systems
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...
John R. Lange, Peter A. Dinda, Fabián E. Bu...