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» Improving on Expectation Propagation
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INFOCOM
2003
IEEE
14 years 1 months ago
Improved BGP Convergence via Ghost Flushing
— In [1], [2] it was noticed that sometimes it takes BGP a substantial amount of time and messages to converge and stabilize following the failure of some node in the Internet. I...
Anat Bremler-Barr, Yehuda Afek, Shemer Schwarz
TIT
2002
146views more  TIT 2002»
13 years 8 months ago
Bounds on the performance of belief propagation decoding
We consider Gallager's soft decoding (belief propagation) algorithm for decoding low density parity check (LDPC) codes, when applied to an arbitrary binary-input symmetric-ou...
David Burshtein, Gadi Miller
JMLR
2010
153views more  JMLR 2010»
13 years 3 months ago
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
Gideon S. Mann, Andrew McCallum
ECCV
2008
Springer
14 years 10 months ago
SERBoost: Semi-supervised Boosting with Expectation Regularization
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
Amir Saffari, Helmut Grabner, Horst Bischof
ICML
2007
IEEE
14 years 9 months ago
Simple, robust, scalable semi-supervised learning via expectation regularization
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
Gideon S. Mann, Andrew McCallum