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LdSM: Logarithm-depth Streaming Multi-label Decision Trees
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<span title="2020-06-10">2020</span>
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arXiv
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<span title="2019-05-24">2019</span>
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<span title="2020-02-21">2020</span>
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<span title="2019-06-03">2019</span>
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<span title="2019-10-17">2019</span>
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Efficient annotation can be achieved with balanced tree predictors, i.e. trees with logarithmic-depth in the label complexity, whose leaves correspond to labels. ...
In this paper we develop the LdSM algorithm for the construction and training of multi-label decision trees, where in every node of the tree we optimize a novel objective function that favors balanced ...
Logarithm-depth Streaming Multi-label Decision Trees (Supplementary material) Abstract This Supplement presents additional details in support of the full article. ...
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