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NN
2008
Springer
129views Neural Networks» more  NN 2008»
13 years 11 months ago
Neurolinguistic approach to natural language processing with applications to medical text analysis
Brain processes responsible for understanding language are approximated by spreading activation in semantic networks, providing enhanced representations that involve concepts not ...
Wlodzislaw Duch, Pawel Matykiewicz, John Pestian
UAI
1998
14 years 7 days ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
INFOCOM
2009
IEEE
14 years 5 months ago
A Sybilproof Indirect Reciprocity Mechanism for Peer-to-Peer Networks
Abstract— Although direct reciprocity (Tit-for-Tat) contribution systems have been successful in reducing freeloading in peerto-peer overlays, it has been shown that, unless the ...
Raul Landa, David Griffin, Richard G. Clegg, Eleni...
GLOBECOM
2008
IEEE
14 years 5 months ago
MACA-U: A Media Access Protocol for Underwater Acoustic Networks
—Unlike terrestrial wireless communication which uses radio waves, underwater communication relies on acoustic waves. The long latency and limited bandwidth pose great challenges...
Hai-Heng Ng, Wee-Seng Soh, Mehul Motani
UAI
2003
14 years 8 days ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller