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152
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ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
159
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IDEAL
2000
Springer
15 years 9 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
182
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ICPR
2010
IEEE
15 years 6 months ago
2010
IEEE
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
137
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IJAR
2006
15 years 6 months ago
2006
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
143
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
Most traffic management and optimization tasks, such as accident detection or optimal vehicle routing, require an ability to adequately model, reason about and predict irregular an...