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Št. zadetkov: 6
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods;multi-task learning
I will review an approach to learning the kernel, which consists in minimizing a convex objective function over a prescribed set of kernel matrices. I will establish some important properties of this problem and present a reformulation of it from a feature space perspective. A well studied example c ...
Leto: 2010 Vir: videolectures.net
Video in druga učna gradiva
Oznake: events;computer science;machine learning;structured output
Leto: 2006 Vir: videolectures.net
Video in druga učna gradiva
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Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;optimization methods;machine learning;kernel methods;support vector machines;compressed sensing;regularization
A fundamental limitation of standard machine learning methods is the cost incurred by the preparation of the large training samples required for good generalization. A potential remedy is offered by multi-task learning: in many cases, while individual sample sizes are rather small, there are samples ...
Leto: 2013 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;transfer learning;multi-task learning
We consider the problem of learning many regression or binary classification tasks simultaneously, under the assumption that the tasks' weight vectors are well approximated as sparse combinations of the atoms of a dictionary. This assumption, together with the large quantity of available tasks, allo ...
Leto: 2013 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods;multiple kernel learning
Leto: 2010 Vir: videolectures.net
Št. zadetkov: 6
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