1969 search results - page 316 / 394 » Fuzzy sets in machine learning and data mining |
134
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
Given a binary classification task, a ranker sorts a set of instances from highest to lowest expectation that the instance is positive. We propose a lexicographic ranker, LexRank,...
122
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...
211
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
167
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MLDM
2007
Springer
15 years 10 months ago
2007
Springer
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
122
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MCS
2001
Springer
15 years 8 months ago
2001
Springer
Using an ensemble of classifiers instead of a single classifier has been shown to improve generalization performance in many machine learning problems [4, 16]. However, the exten...