Probability Estimation in Tree-Based Linear Methods for Extreme Multi-Label Learning
This study explains why prior works relied on this problematic function without considering well-developed probabilistic outputs for binary linear classification and leads to a more suitable probability estimation for tree-based linear methods.
Sheng-Wei Chen, Kuan-Ting Chen, Guan-Ting Chen et al.
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