3708 search results - page 415 / 742 » The Inverse Classification Problem |
248
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CVPR
2009
IEEE
17 years 2 months ago
2009
IEEE
We study the problem of object classification when training
and test classes are disjoint, i.e. no training examples of
the target classes are available. This setup has hardly be...
157
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DCC
2009
IEEE
16 years 7 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
176
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FLAIRS
2008
15 years 9 months ago
2008
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
180
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BMCBI
2007
15 years 6 months ago
2007
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
250
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VLSISP
2010
15 years 5 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...