3624 search results - page 405 / 725 » Learning to learn: From smart machines to intelligent machin... |
169
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ML
2010
ACM
15 years 5 months ago
2010
ACM
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...
217
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
In the realm of multilabel classification (MLC), it has become an opinio communis that optimal predictive performance can only be achieved by learners that explicitly take label d...
201
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
In this paper, we consider online prediction from expert advice in a situation where each expert observes its own loss at each time while the loss cannot be disclosed to others fo...
217
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AAAI
2012
13 years 9 months ago
2012
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
168
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FOCS
2006
IEEE
16 years 27 days ago
2006
IEEE
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...