Author

Kuan-Ting Chen

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On the Influence of Hyperparameters in Tree-Based Linear Methods for Extreme Multi-Label Text Classification: Insights for Efficient and Effective Search

This study innovatively analyzes the hyperparameters of tree-based linear methods and suggests an efficient and effective guideline that leads to consistent improvements across datasets, thereby strengthening tree-based linear methods as a stronger XMTC baseline.

Kuan-Ting Chen, Hung-Chih Chiang, Chih-Jen Lin · 0 citations

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. · 1 citation