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pro vyhledávání: '"Hung, Hsuan"'
Autor:
Chen, Hung-Hsuan
The Gradient Boosting Classifier (GBC) is a widely used machine learning algorithm for binary classification, which builds decision trees iteratively to minimize prediction errors. This document explains the GBC's training and prediction processes, f
Externí odkaz:
http://arxiv.org/abs/2410.05623
We study Dirac fermions in the presence of a space-dependent chiral gauge field and thermodynamic gradients, establishing a connection to the inverse spin Hall effect. The chiral gauge field induces a chiral magnetic field, resulting in a surface Fer
Externí odkaz:
http://arxiv.org/abs/2409.09025
Autor:
Wang, Pei-Syuan, Chen, Hung-Hsuan
This paper details an empirical investigation into using Graph Contrastive Learning (GCL) to generate mathematical equation representations, a critical aspect of Mathematical Information Retrieval (MIR). Our findings reveal that this simple approach
Externí odkaz:
http://arxiv.org/abs/2402.13444
Autor:
Hsu, Yung-Peng, Chen, Hung-Hsuan
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 probability density function of the multivariate beta distribution. We intr
Externí odkaz:
http://arxiv.org/abs/2401.16708
Autor:
Chen, Jo-Chun, Chen, Hung-Hsuan
Spectral clustering is a popular method for effectively clustering nonlinearly separable data. However, computational limitations, memory requirements, and the inability to perform incremental learning challenge its widespread application. To overcom
Externí odkaz:
http://arxiv.org/abs/2311.07833
Autor:
Wang, Ruei-Yuan, Chen, Hung-Hsuan
The proliferation of misinformation has emerged as a new form of warfare in the information age. This type of warfare involves cyberwarriors, who deliberately propagate messages aimed at defaming opponents or fostering unity among allies. In this stu
Externí odkaz:
http://arxiv.org/abs/2308.15491
We introduce TTSWING, a novel dataset designed for table tennis swing analysis. This dataset comprises comprehensive swing information obtained through 9-axis sensors integrated into custom-made racket grips, accompanied by anonymized demographic dat
Externí odkaz:
http://arxiv.org/abs/2306.17550
Publikováno v:
Higher Education, Skills and Work-Based Learning, 2024, Vol. 14, Issue 4, pp. 782-795.
Publikováno v:
The Journal of Pathology: Clinical Research, Vol 10, Iss 4, Pp n/a-n/a (2024)
Abstract Gastric poorly cohesive carcinoma (PCC) manifests with a diffuse pattern and diverse tumor cell morphologies, often indicating a more unfavorable prognosis. Recent consensus has reclassified PCC based on the proportion of signet‐ring cells
Externí odkaz:
https://doaj.org/article/1a58e37629db423f918ea3f73c647efb
Autor:
Tang, Di-Wei, Chen, I-Chung, Chou, Po-Yu, Lai, Mei-Jung, Liu, Zheng-Yang, Tsai, Kelvin K., Cheng, Li-Hsin, Zhao, Jian-Xun, Cho, Er-Chieh, Chang, Hung-Hsuan, Lin, Tony Eight, Hsu, Kai-Cheng, Chen, Mei-Chuan, Liou, Jing-Ping
Publikováno v:
In European Journal of Medicinal Chemistry 15 November 2024 278