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Probabilistic Label Trees for Extreme Multi-label Classification
Extreme multi-label classification (XMLC) is a learning task of tagging ...
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Online probabilistic label trees
We introduce online probabilistic label trees (OPLTs), an algorithm that...
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Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification
In cases of uncertainty, a multi-class classifier preferably returns a s...
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On the computational complexity of the probabilistic label tree algorithms
Label tree-based algorithms are widely used to tackle multi-class and mu...
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A no-regret generalization of hierarchical softmax to extreme multi-label classification
Extreme multi-label classification (XMLC) is a problem of tagging an ins...
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Multi-Target Prediction: A Unifying View on Problems and Methods
Multi-target prediction (MTP) is concerned with the simultaneous predict...
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Consistent Multilabel Ranking through Univariate Losses
We consider the problem of rank loss minimization in the setting of mult...
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Krzysztof Dembczynski
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