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200
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Publication
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
192
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ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
188
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NN
2006
Springer
15 years 6 months ago
2006
Springer
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
246
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ISCI
2007
15 years 6 months ago
2007
ct 9 Words mean different things to different people, and so are uncertain. We, therefore, need a fuzzy set model for a word 10 that has the potential to capture their uncertaint...
158
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ISMIS
1994
Springer
15 years 10 months ago
1994
Springer
Abstract: While the problem of incompletedata in databases has been extensively studied, a relatively unexplored form of uncertainty in databases, called inaccurate data, demands d...