Hung-Hsuan Chen

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20232026

most citedUnderstanding Gradient Boosting Classifier: Training, Prediction, and the Role of

γ_{j}

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cs.LG2024★ 1 cited

Understanding Gradient Boosting Classifier: Training, Prediction, and the Role of $γ_{j}$

Hung-Hsuan Chen

The Gradient Boosting Classifier (GBC) is a widely used machine learning algorithm for binary classification, which builds decision trees iteratively to minimize prediction errors.…

cs.IR2024

The Effectiveness of Graph Contrastive Learning on Mathematical Information Retrieval

Pei-Syuan Wang, Hung-Hsuan Chen

This paper details an empirical investigation into using Graph Contrastive Learning (GCL) to generate mathematical equation representations, a critical aspect of Mathematical Infor…

cs.LG2024

Multivariate Beta Mixture Model: Probabilistic Clustering With Flexible Cluster Shapes

Yung-Peng Hsu, Hung-Hsuan Chen

This paper introduces the multivariate beta mixture model (MBMM), a new probabilistic model for soft clustering. MBMM adapts to diverse cluster shapes because of the flexible proba…

Understanding Gradient Boosting Classifier: Training, Prediction, and the Role of γj​

The Effectiveness of Graph Contrastive Learning on Mathematical Information Retrieval

Multivariate Beta Mixture Model: Probabilistic Clustering With Flexible Cluster Shapes

Understanding Gradient Boosting Classifier: Training, Prediction, and the Role of $γ_{j}$