243 search results - page 10 / 49 » Learning Classifiers from Distributed, Ontology-Extended Dat... |
98
Voted
KDD
2009
ACM
2009
ACM
Quantification and semi-supervised classification methods for handling changes in class distribution
16 years 2 months ago
In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...
142
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PAMI
2012
13 years 4 months ago
2012
—Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has ...
114
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AAAI
2012
13 years 4 months ago
2012
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
120
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PPSN
2004
Springer
15 years 7 months ago
2004
Springer
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...
126
Voted
ECML
2007
Springer
15 years 5 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...