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LdSM: Logarithm-depth Streaming Multi-label Decision Trees [article]

Maryam Majzoubi, Anna Choromanska
<span title="2020-06-10">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
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.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1905.10428v5">arXiv:1905.10428v5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vnuub646tvbp7jpxgqr7divh3u">fatcat:vnuub646tvbp7jpxgqr7divh3u</a> </span>
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