1521 search results - page 108 / 305 » A learning model for oscillatory networks |
162
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IJCNN
2006
IEEE
16 years 15 days ago
2006
IEEE
– We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal...
163
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AUSDM
2007
Springer
16 years 20 days ago
2007
Springer
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
162
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
A statistical framework for modeling and prediction of binary matrices is presented. The method is applied to social network analysis, specifically the database of US Supreme Cou...
175
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IWANN
2001
Springer
15 years 11 months ago
2001
Springer
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
194
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BIBE
2008
IEEE
15 years 8 months ago
2008
IEEE
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...