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Quantitative bio-science最新文献

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Polyphenol, Flavonoid and Tannin Variation in Puer Tea Extracts 普洱茶提取物中多酚、类黄酮和单宁含量的变化
Quantitative bio-science
Pub Date : 2019-05-01 DOI: 10.22283/QBS.2019.38.1.41
M. Choe, Min-Hee Yoo, Woong-Kyu Yoon, Min Byung tae, 계명대학교, Jung-Hwan Park
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引用次数: 1
Anti-proliferative Activity of 3,5-Diaminoindazole Analogues 3,5-二氨基吲哚唑类似物的抗增殖活性
Quantitative bio-science
Pub Date : 2019-05-01 DOI: 10.22283/QBS.2019.38.1.49
J. Park, 이진호
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引用次数: 0
A Study of the Convertible Bond Index and the Investment Performance Using Rough Set 基于粗糙集的可转债指数与投资绩效研究
Quantitative bio-science
Pub Date : 2019-05-01 DOI: 10.22283/QBS.2019.38.1.23
Lee Sung Yeop, J. Ju, K. Oh, 양준혁
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引用次数: 1
Predicting Debt Default of P2P Loan Borrowers Using Self-Organizing Map 基于自组织地图的P2P借款人债务违约预测
Quantitative bio-science
Pub Date : 2019-05-01 DOI: 10.22283/QBS.2019.38.1.63
Seung Hyun Kim, Dong Won Lee, Bong-Ju Jeong, K. Oh
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引用次数: 0
Volatility for High Frequency Time Series Toward fGARCH (1,1) as a Functional Model 高频时间序列对fGARCH(1,1)函数模型的波动
Quantitative bio-science
Pub Date : 2018-11-01 DOI: 10.22283/QBS.2018.37.2.73
S. Hwang, J.E.Yoon
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引用次数: 1
1,3,4-Oxadiazole-2(3H)-thione as a New Scaffold for Pim Kinase Inhibitors 1,3,4-恶二唑-2(3H)-硫酮作为Pim激酶抑制剂的新支架
Quantitative bio-science
Pub Date : 2018-11-01 DOI: 10.22283/QBS.2018.37.2.113
A. Lee, 이진호, V. Hong
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引用次数: 0
Isolation and Identification of Noble Lactic Acid Bacteria 高档乳酸菌的分离与鉴定
Quantitative bio-science
Pub Date : 2018-11-01 DOI: 10.22283/qbs.2018.37.2.125
Han-Cheol Yeo, Hyeong-Jun Park, Min Yoo, Jin-Young Jang, Min Byung tae
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引用次数: 0
Stachys riederi var. japonica Extract Reduces Cytochrome C Release from Mitochondria in UVA-irradiated Human Dermal Fibroblasts 枸杞子提取物减少uva辐照人皮肤成纤维细胞线粒体中细胞色素C的释放
Quantitative bio-science
Pub Date : 2018-11-01 DOI: 10.22283/QBS.2018.37.2.103
Ji-Yeon Hwang, 김영철, 이재순
This study was performed to investigate the cytoprotective effects of Stachys riederi var. japonica ethanol extract (SREE) to control oxidative stress induced by UVA-irradiation by examining antioxidant capacity and gene expression of cytochrome c using human dermal fibroblasts. The total polyphenol...
本研究通过检测人真皮成纤维细胞的抗氧化能力和细胞色素c基因表达，探讨日本石竹乙醇提取物(SREE)对uva辐射诱导的氧化应激的细胞保护作用。总多酚…
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引用次数: 0
Characteristics on Big Data of the Meteorology and Climate Reported in the Media in Korea 韩国媒体报道气象气候大数据的特点
Quantitative bio-science
Pub Date : 2018-11-01 DOI: 10.22283/qbs.2018.37.2.91
Jae-Won Choi, Haedong Kim
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引用次数: 0
A Selective Review on Random Survival Forests for High Dimensional Data. 高维数据随机生存森林的选择性回顾。
Quantitative bio-science
Pub Date : 2017-01-01 DOI: 10.22283/qbs.2017.36.2.85
Hong Wang, Gang Li

Over the past decades, there has been considerable interest in applying statistical machine learning methods in survival analysis. Ensemble based approaches, especially random survival forests, have been developed in a variety of contexts due to their high precision and non-parametric nature. This article aims to provide a timely review on recent developments and applications of random survival forests for time-to-event data with high dimensional covariates. This selective review begins with an introduction to the random survival forest framework, followed by a survey of recent developments on splitting criteria, variable selection, and other advanced topics of random survival forests for time-to-event data in high dimensional settings. We also discuss potential research directions for future research.

在过去的几十年里，人们对将统计机器学习方法应用于生存分析产生了相当大的兴趣。基于集合的方法，特别是随机生存森林，由于其高精度和非参数性，已经在各种情况下得到了发展。本文旨在及时回顾具有高维协变量的时间-事件数据的随机生存森林的最新发展和应用。这篇选择性综述首先介绍了随机生存森林框架，然后调查了高维环境中随机生存森林的分裂标准、变量选择和其他高级主题的最新发展，以获取时间到事件的数据。我们还讨论了未来研究的潜在研究方向。
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引用次数: 52
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