2161 search results - page 136 / 433 » Learning to classify e-mail |
161
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We address classification problems for which the training instances are governed by a distribution that is allowed to differ arbitrarily from the test distribution--problems also ...
157
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ICALT
2005
IEEE
15 years 12 months ago
2005
IEEE
Meta-learning is an efficient approach in the field of machine learning, which involves multiple classifiers. In this paper, a meta-learning framework consisting of stacking meta-...
172
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ADBIS
2003
Springer
15 years 11 months ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
164
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BIBE
2007
IEEE
15 years 10 months ago
2007
IEEE
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
161
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SDM
2008
SIAM
15 years 7 months ago
2008
SIAM
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...