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Probabilistic Label Trees for Extreme Multi-label Classification
Extreme multi-label classification (XMLC) is a learning task of tagging ...
09/23/2020 ∙ by Kalina Jasinska-Kobus, et al. ∙
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Online probabilistic label trees
We introduce online probabilistic label trees (OPLTs), an algorithm that...
07/08/2020 ∙ by Kalina Jasinska-Kobus, et al. ∙
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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...
06/19/2019 ∙ by Thomas Mortier, et al. ∙
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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...
06/01/2019 ∙ by Robert Busa-Fekete, et al. ∙
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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...
10/27/2018 ∙ by Marek Wydmuch, et al. ∙
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Multi-Target Prediction: A Unifying View on Problems and Methods
Multi-target prediction (MTP) is concerned with the simultaneous predict...
09/07/2018 ∙ by Willem Waegeman, et al. ∙
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Consistent Multilabel Ranking through Univariate Losses
We consider the problem of rank loss minimization in the setting of mult...
06/27/2012 ∙ by Krzysztof Dembczynski, et al. ∙
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