3949 search results - page 629 / 790 » Machine Learning and Data Mining |
165
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ECML
2007
Springer
16 years 17 days 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,...
160
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ECML
2007
Springer
16 years 17 days 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...
257
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ECML
2007
Springer
16 years 17 days 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...
199
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MLDM
2007
Springer
16 years 16 days 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...
172
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MLMI
2007
Springer
16 years 16 days ago
2007
Springer
In conversational speech, irregularities in the speech such as overlaps and disruptions make it difficult to decide what is a sentence. Thus, despite very precise guidelines on how...