LEAVE-ONE-OUT

作品数：8被引量：12H指数：3
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相关领域：理学更多>>
相关作者：余珊珊吴亮更多>>
相关机构：华东师范大学中国医科大学上海财经大学更多>>
相关期刊：《Journal of Animal Science and Biotechnology》《Science China Mathematics》《Journal of Biomedical Science and Engineering》《China Ocean Engineering》更多>>
相关基金：国家自然科学基金北京市自然科学基金更多>>
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Real-Time Prediction of Stress Response of Tubular Joints on the Jacket Platform Using a Reduced-Order Model
《China Ocean Engineering》2025年第1期13-26,共14页LENG Jian-cheng MAO Hou-bin DIAO Kai-xin FENG Hui-yu 
financially supported by the National Natural Science Foundation of China(Grant No.11472076).
Jacket platforms constitute the foundational infrastructure of offshore oil and gas field exploitation.How to efficiently and accurately monitor the mechanical properties of jacket structures is one of the key problem...
关键词：offshore jacket platform digital twin tubular joints proper orthogonal decomposition leave-one-out cross validation real-time prediction 
Model-averaging-based semiparametric modeling for conditional quantile prediction
《Science China Mathematics》2024年第12期2843-2872,共30页Chaohui Guo Wenyang Zhang 
supported by National Natural Science Foundation of China(Grant Nos.11931014 and 12201091);the Natural Science Foundation of Chongqing(Grant No.CSTB2022NSCQ-MSX0852);the National Statistical Science Research Program of China(Grant No.2022LY019);the Science and Technology Research Program of the Chongqing Municipal Education Commission(Grant No.KJQN202100526)。
In real data analysis,the underlying model is frequently unknown.Hence,the modeling strategy plays a key role in the success of data analysis.Inspired by the idea of model averaging,we propose a novel semiparametric m...
关键词：asymptotic optimality conditional quantile prediction kernel smoothing leave-one-out crossvalidation model averaging varying coefficient model 
Discrimination between Dementia Groups and Healthy Elderlies Using Scalp-Recorded-EEG-Based Brain Functional Connectivity Networks
《Journal of Biomedical Science and Engineering》2020年第7期153-167,共15页Sakura Nishijima Tetsushi Yada Toshimasa Yamazaki Yoshiyuki Kuroiwa Makoto Nakane Kimihiro Fujino Toshiaki Hirai Yasuhisa Baba Shoko Yamada Sho Tsukiyama 
Objective: To establish a practical method for discriminating dementia groups and healthy elderlies, by using scalp-recorded electroencephalograms (EEGs). Methods: 16-ch EEGs were recorded during res...
关键词：ELECTROENCEPHALOGRAPHY Network DEMENTIA Synchronization Likelihood Leave-One-Out Cross Validation Euclidean Distance 
Predicting microRNA-disease association based on microRNA structural and functional similarity network
《Frontiers of Electrical and Electronic Engineering in China》2019年第2期138-146,共9页Tao Ding Jie Gao Shanshan Zhu Junhua Xu Min Wu 
Major Research Plan of National Natural Science Foundation of China (No.91730301);Key Projects of National Natural Science Foundation of China (No.l 1831015);the State Scholarship Fund of China (No.201806790020).
Background:Increasing evidences indicate that microRNAs (miRNAs) are functionally related to the development and progression of various human diseases.Inferring disease-related miRNAs can be helpful in promoting disea...
关键词：MIRNAS HAIRPIN structure miRNA families functional SIMILARITY disease semantic LEAVE-ONE-OUT CROSSVALIDATION 
Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction被引量：3
《Journal of Animal Science and Biotechnology》2017年第3期733-737,共5页Hao Cheng Dorian J.Garrick Rohan L.Fernando 
supported by the US Department of Agriculture,Agriculture and Food Research Initiative National Institute of Food and Agriculture Competitive grant no.2015-67015-22947
Background： A random multiple-regression model that simultaneously fit all allele substitution effects for additive markers or haplotypes as uncorrelated random effects was proposed for Best Linear Unbiased Predictio...
关键词：Leave-one-out cross validation GBLUP 
Optimization of Shanghai marine environment monitoring sites by integrating spatial correlation and stratified heterogeneity被引量：2
《Acta Oceanologica Sinica》2017年第2期111-121,共11页FAN Haimei GAO Bingbo XU Ren WANG Jinfeng 
The National Natural Science Fundation of China under contract Nos 41376190,41271404,41531179,41421001 and41601425;the Open Funds of the Key Laboratory of Integrated Monitoring and Applied Technologies for Marin Harmful Algal Blooms,SOA under contract No.MATHA201120204;the Scientific Research Project of Shanghai Marine Bureau under contract No.Hu Hai Ke2016-05;the Ocean Public Welfare Scientific Research Project,State Oceanic Administration of the People's Republic of China under contract Nos 201305027 and 201505008
The water quality grades of phosphate（PO4-P） and dissolved inorganic nitrogen（DIN） are integrated by spatial partitioning to fit the global and local semi-variograms of these nutrients. Leave-one-out cross validat...
关键词：area of water quality grade stratified Kriging（SK） leave-one-out cross validation method spatial simulated annealing method monitoring sites optimization 
Efficient Leave-One-Out Strategy for Supervised Feature Selection被引量：3
《Tsinghua Science and Technology》2013年第6期629-635,共7页Dingcheng Feng Feng Chen Wenli Xu 
National Natural Science Foundation of China(Nos.61071131 and 61271388);Beijing Natural Science Foundation(No.4122040);Research Project of Tsinghua University(No.2012Z01011);Doctoral Fund of the Ministry of Education of China(No.20120002110036)
Feature selection is a key task in statistical pattern recognition. Most feature selection algorithms have been proposed based on specific objective functions which are usually intuitively reasonable but can sometimes...
关键词：LEAVE-ONE-OUT feature selection objectives evaluation metrics 
Improved adaptive pruning algorithm for least squares support vector regression被引量：4
《Journal of Systems Engineering and Electronics》2012年第3期438-444,共7页Runpeng Gao Ye San 
supported by the National Natural Science Foundation of China (61074127)
As the solutions of the least squares support vector regression machine （LS-SVRM） are not sparse, it leads to slow prediction speed and limits its applications. The defects of the ex- isting adaptive pruning algorit...
关键词：least squares support vector regression machine （LS- SVRM） PRUNING leave-one-out （LOO） error incremental learning decremental learning. 
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