25041 search results - page 4454 / 5009 » Algorithms for Clustering Data |
222
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
164
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We study hierarchical classification in the general case when an instance could belong to more than one class node in the underlying taxonomy. Experiments done in previous work sh...
174
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
195
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Elimination by aspects (EBA) is a probabilistic choice model describing how humans decide between several options. The options from which the choice is made are characterized by b...
188
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Boosting methods are known not to usually overfit training data even as the size of the generated classifiers becomes large. Schapire et al. attempted to explain this phenomenon i...