3097 search results - page 200 / 620 » Adaptive Manifold Learning |
160
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CEE
2005
15 years 6 months ago
2005
In this paper, we first propose a new continuous action-set learning automaton and theoretically study its convergence properties and show that it converges to the optimal action....
176
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AAAI
2012
13 years 8 months ago
2012
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
166
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WWW
2005
ACM
16 years 7 months ago
2005
ACM
We present a browser extension to dynamically learn to filter unwanted images (such as advertisements or flashy graphics) based on minimal user feedback. To do so, we apply the we...
175
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ESANN
2003
15 years 7 months ago
2003
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
162
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NIPS
1998
15 years 7 months ago
1998
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...