3236 search results - page 219 / 648 » Active kernel learning |
126
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
128
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
The central issue in representing graphstructured data instances in learning algorithms is designing features which are invariant to permuting the numbering of the vertices. We pr...
142
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COLT
2008
Springer
15 years 6 months ago
2008
Springer
We design and analyze interacting online algorithms for multitask classification that perform better than independent learners whenever the tasks are related in a certain sense. W...
153
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NIPS
2008
15 years 6 months ago
2008
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
130
Voted
COLT
2006
Springer
15 years 8 months ago
2006
Springer
We study functions with multiple output values, and use active sampling to identify an example for each of the possible output values. Our results for this setting include: (1) Eff...