3 papers
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…
cs.LG2023
Toward Efficient and Incremental Spectral Clustering via Parametric Spectral Clustering
Jo-Chun Chen, Hung-Hsuan Chen
Spectral clustering is a popular method for effectively clustering nonlinearly separable data. However, computational limitations, memory requirements, and the inability to perform…