1454 search results - page 86 / 291 » Learning with cost intervals |
164
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FGR
2004
IEEE
15 years 9 months ago
2004
IEEE
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
137
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NLE
2008
15 years 5 months ago
2008
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
179
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ECML
2007
Springer
15 years 11 months ago
2007
Springer
Abstract. This paper introduces the use of multi-objective evolutionary algorithms in multiple instance learning. In order to achieve this purpose, a multi-objective grammar-guided...
156
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ICDM
2005
IEEE
15 years 11 months ago
2005
IEEE
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
170
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ECML
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...