1106 search results - page 43 / 222 » On regularization algorithms in learning theory |
154
Voted
CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
Kernel machines have recently been considered as a promising solution for implicit surface modelling. A key challenge of machine learning solutions is how to fit implicit shape mo...
143
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ACL
2009
15 years 2 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
131
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FORMATS
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. We extend Angluin’s algorithm for on-line learning of regular languages to the setting of timed systems. We consider systems that can be described by a class of determi...
134
Voted
COLT
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. We consider the problem of estimating an unknown probability distribution from samples using the principle of maximum entropy (maxent). To alleviate overfitting with a v...
140
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CVPR
2005
IEEE
16 years 6 months ago
2005
IEEE
Dimensionality reduction via feature projection has been widely used in pattern recognition and machine learning. It is often beneficial to derive the projections not only based o...