Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Quang Minh Hoang"'
Autor:
Trevor S. Frisby, Shawn J. Baker, Guillaume Marçais, Quang Minh Hoang, Carl Kingsford, Christopher J. Langmead
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-19 (2021)
Abstract Background Supervised learning from high-throughput sequencing data presents many challenges. For one, the curse of dimensionality often leads to overfitting as well as issues with scalability. This can bring about inaccurate models or those
Externí odkaz:
https://doaj.org/article/1fc059f1c09743c3894a51417a32d3cc
Publikováno v:
AAAI
Distributed machine learning (ML) is a modern computation paradigm that divides its workload into independent tasks that can be simultaneously achieved by multiple machines (i.e., agents) for better scalability. However, a typical distributed system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdc4306f410bc8766373fc6fe0e2ab05
https://doi.org/10.1609/aaai.v33i01.33017850
https://doi.org/10.1609/aaai.v33i01.33017850
Autor:
Cheng I. Wu, Jo Nan Liao, Yun Yu Chen, Li Wei Lo, Shih Lin Chang, Ting Yung Chang, Yu Feng Hu, Fa Po Chung, Ting Chung Huang, Yenn Jiang Lin, Tze Fan Chao, Simon Salim, Ta Chuan Tuan, Chih Min Liu, Chin Yu Lin, Quang Minh Hoang, Ling Kuo, Jennifer Jeanne B. Vicera, Shih Ann Chen, Chieh Mao Chuang
Publikováno v:
Journal of Cardiovascular Electrophysiology. 30:1215-1228
Introduction We aimed to clarify the effect of vein of Marshall (VOM) ethanol infusion for treating VOM triggers and/or mitral flutter after first-attempt endocardial ablation in patients with nonparoxysmal atrial fibrillation (AF). Methods and resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f988ce1dc8dc3bb55baaa7e98f24d8c5
https://doi.org/10.1111/jce.13969
https://doi.org/10.1111/jce.13969
Autor:
Quang Minh Hoang, Christopher J. Langmead, Shawn James Baker, Guillaume Marçais, Trevor S. Frisby, Carl Kingsford
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-19 (2021)
BMC Bioinformatics
BMC Bioinformatics
Background Supervised learning from high-throughput sequencing data presents many challenges. For one, the curse of dimensionality often leads to overfitting as well as issues with scalability. This can bring about inaccurate models or those that req
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::565e5d66e0bf408ef88b6de9a75bd52b
https://doi.org/10.1186/s12859-021-04096-6
https://doi.org/10.1186/s12859-021-04096-6
Publikováno v:
Journal of Computer Science and Cybernetics. 33:131-142
Rough set theory is useful mathematical tool developed to deal with vagueness and uncertainty. As an important concept of rough set theory, an attribute reduct is a subset of attributes that are jointly sufficient and individually necessary for prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a75c477b1e88b31d68642c0179c8061
https://doi.org/10.15625/1813-9663/33/2/9281
https://doi.org/10.15625/1813-9663/33/2/9281
Autor:
Chin Yu Lin, Rubiana Sukardi, Yun Yu Chen, Chieh Mao Chuang, Ting Chun Huang, Yenn Jiang Lin, Jennifer Jeanne B. Vicera, Vu Van Ba, Chun Chao Chen, Dai Yin Lu, Cheng I. Wu, Yu Feng Hu, Chye Gen Chin, Shih Ann Chen, Quang Minh Hoang, Ling Kuo, Simon Salim, Li Wei Lo, Ta Chuan Tuan, Shih Lin Chang, Chih Min Liu, Jo Nan Liao, Fa Po Chung, Tze Fan Chao
Publikováno v:
Journal of cardiovascular electrophysiology. 30(7)
Aims Most left atrial tachycardia (LAT) is associated with atrial fibrillation (AF). The clinical and electrophysiological characteristics and outcomes of LAT without AF have not been investigated. This study sought to determine the long-term ablatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d71be18e3528edc17d89d9ca1e2ffbc8
https://pubmed.ncbi.nlm.nih.gov/30977218
https://pubmed.ncbi.nlm.nih.gov/30977218