1012 search results - page 51 / 203 » A Learning Classifier Approach to Tomography |
97
Voted
ACL
2009
14 years 10 months ago
2009
We present a simple and scalable algorithm for clustering tens of millions of phrases and use the resulting clusters as features in discriminative classifiers. To demonstrate the ...
140
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BMCBI
2006
15 years 19 days ago
2006
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
106
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
94
Voted
VMV
2008
15 years 2 months ago
2008
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
122
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SAC
2010
ACM
14 years 7 months ago
2010
ACM
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...