3256 search results - page 249 / 652 » Learning Linear Transformations |
197
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ECCV
2010
Springer
15 years 11 months ago
2010
Springer
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
150
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
169
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CORR
2008
Springer
15 years 6 months ago
2008
Springer
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
191
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ECML
2001
Springer
15 years 11 months ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
189
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COLT
2010
Springer
15 years 4 months ago
2010
Springer
We define a new model of quantum learning that we call Predictive Quantum (PQ). This is a quantum analogue of PAC, where during the testing phase the student is only required to a...