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» Improved learning of Bayesian networks
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IAT
2007
IEEE
13 years 10 months ago
Resource-Aware Update Policy for Highly Dynamic P2P Networks
As a user attention has become a precious resource, a special care has to be taken to reduce the time needed for answering queries in P2P networks. Existing solutions are usually ...
Dragan Milosevic, Jérôme Kunegis, Sah...
NECO
2008
170views more  NECO 2008»
13 years 8 months ago
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
Nicolas Le Roux, Yoshua Bengio
IWINAC
2005
Springer
14 years 1 months ago
Estimation of Fuel Moisture Content Using Neural Networks
Fuel moisture content (FMC) is one of the variables that drive fire danger. Artificial Neural Networks (ANN) were tested to estimate FMC by calculating the two variables implicat...
David Riaño, S. L. Ustin, L. Usero, Miguel ...
GLOBECOM
2009
IEEE
14 years 3 months ago
Movement Recognition Using Body Area Networks
—Significant research has been done on recognizing the daily activities using acceleration data but few works have focused on classifying the movements comprising an activity du...
John Paul Varkey, Dario Pompili
IJCNN
2006
IEEE
14 years 2 months ago
C2FS: An Algorithm for Feature Selection in Cascade Neural Networks
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...
Lars Backstrom, Rich Caruana