74 search results - page 2 / 15 » Kernel-Based Learning of Hierarchical Multilabel Classificat... |
ECAI
2006
Springer
15 years 1 months ago
2006
Springer
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operate...
KDD
2007
ACM
15 years 9 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
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PRIB
2010
Springer
14 years 7 months ago
2010
Springer
We present a structured output prediction approach for classifying potential anti-cancer drugs. Our QSAR model takes as input a description of a molecule and predicts the activity...
ML
2008
ACM
14 years 9 months ago
2008
ACM
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...