4947 search results - page 587 / 990 » Learning Module Networks |
176
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ECAI
2008
Springer
15 years 8 months ago
2008
Springer
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
142
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ESANN
2000
15 years 8 months ago
2000
: Recurrent neural networks possess interesting universal approximation capabilities, making them good candidates for time series modeling. Unfortunately, long term dependencies ar...
163
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WCE
2007
15 years 8 months ago
2007
Abstract—In this work we present a variational formulation for a multilayer perceptron neural network. With this formulation any learning task for the neural network is defined ...
197
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AINA
2007
IEEE
15 years 7 months ago
2007
IEEE
Wireless sensor networks are usually deployed in a way “once deployed, never changed”. The actions of sensor nodes are either pre-scheduled inside chips or triggered to respon...
152
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APIN
2010
15 years 7 months ago
2010
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...