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A Comparison of Multi-Label Feature Selection Methods Using the Random Forest Paradigm.
Ouadie Gharroudi
Haytham Elghazel
Alex Aussem
Published in:
Canadian Conference on AI (2014)
Keyphrases
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random forest
multi label
text categorization
multi label classification
random forests
graph cuts
image classification
binary classification
image annotation
text classification
multi label learning
class labels
image segmentation
data mining
neural network
higher order
feature selection