云南高校图书馆联盟文献共享服务平台- INFORMATIVE

INFORMATIVE: 作品数：105被引量：53H指数：3; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：张玉峰张扬张相林刘晓周颖更多>>; 相关机构：华东政法大学北京大学第一医院大连外国语大学北京大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划北京市自然科学基金国家教育部博士点基金更多>>

Regularized Inverse Covariance Estimation for Longitudinal Data with Informative Dropout: 《应用概率统计》2024年第6期1016-1039,共24页YANG Shuning ZHENG Zhi ZHANG Weiping; supported by the National Natural Science Foundation of China(Grant No.12171450).; This paper proposes a novel method for estimating the sparse inverse covariance matrixfor longitudinal data with informative dropouts. Based on the modified Cholesky decomposition,the sparse inverse covariance matrix ...; 关键词：penalized estimating function modified Cholesky decomposition DROPOUT inverse probability weighting

Is audit materiality informative?Evidence from China: 《China Journal of Accounting Research》2024年第3期120-137,共18页Lei Zhu Qianwen Zheng Yubin Li; support from the Fundamental Research Funds for the Central Universities,Zhongnan University of Economics and Law(Grant No.2722024BQ050);“State-sponsored Post-doctoral Program of China”(Grant No.GZC20233136);Zheng acknowledges financial support from the Fundamental Research Funds for the Central Universities(Grant No.skbsh2202-36);Li acknowledges financial support from the National Natural Science Foundation of China,China(Grant No.72002059);the Shenzhen Peacock Plan research fund(Grant No.GA11409006);the Shenzhen Key Research Base of Humanities and Social Sciences(Grant No.KP191002).; To improve the usefulness of audit opinions,on 23 March 2021,the China Securities Regulatory Commission mandated that auditors disclose overall quantitative materiality of consolidated financial statements in special ...; 关键词：Audit Materiality Audit Quality Auditor Competence Investors’Decision-Making

The Advertisement Translation Based on the Prototype Theory: 《Sino-US English Teaching》2024年第3期132-137,共6页XUE Hai-bin; Based on the Prototype Theory,the prototypical feature of advertisement is found to be the combination of three language functions:the informative function,the expressive function,and the vocative function.The adverti...; 关键词：the Prototype Theory ADVERTISEMENT the informative function the expressive function the vocative function

ML and DL-based Phishing Website Detection:The Effects of Varied Size Datasets and Informative Feature Selection Techniques: 《Journal of Artificial Intelligence and Technology》2024年第1期18-30,共13页Kibreab Adane Berhanu Beyene Mohammed Abebe; Onemust interact with a specific webpage or website in order to use the Internet for communication,teamwork,and other productive activities.However,because phishing websites look benign and not all website visitors ha...; 关键词：ANOVA-F-test deep learning feature selection technique machine learning mutual information phishing website datasets phishing website detection

Breed identification using breed‑informative SNPs and machine learning based on whole genome sequence data and SNP chip data被引量：2: 《Journal of Animal Science and Biotechnology》2023年第5期1941-1953,共13页Changheng Zhao Dan Wang Jun Teng Cheng Yang Xinyi Zhang Xianming Wei Qin Zhang; funded by National Key Research and Development Program of China(2021YFD1200404);the Yangzhou University Interdisciplinary Research Foundation for Animal Science Discipline of Targeted Support(yzuxk202016);the Project of Genetic Improvement for Agricultural Species(Dairy Cattle)of Shandong Province(2019LZGC011).; Background Breed identification is useful in a variety of biological contexts.Breed identification usually involves two stages,i.e.,detection of breed-informative SNPs and breed assignment.For both stages,there are se...; 关键词：Breed identification Breed-informative SNPs Genomic breed composition Machine learning Whole genome sequence data

Regression Analysis of Misclassified Current Status Data with Informative Observation Times: 《Journal of Systems Science & Complexity》2023年第3期1250-1264,共15页WANG Wenshan XU Da ZHAO Shishun SUN Jianguo; supported by the National Natural Science Foundation of China under Grant Nos. 12001093,12071176;the National Key Research and Development Program of China under Grant No. 2020YFA0714102;the Science and Technology Developing Plan of Jilin Province under Grant No. 20200201258JC; Misclassified current status data arises if each study subject can only be observed once and the observation status is determined by a diagnostic test with imperfect sensitivity and specificity.For the situation,anoth...; 关键词：Current status data EM algorithm informative censoring MISCLASSIFICATION proportional hazard model

Twitter Media Sentiment Analysis to Convert Non-Informative to Informative Using QER: 《Intelligent Automation & Soft Computing》2023年第3期3545-3555,共11页C.P.Thamil Selvi P.Muneeshwari K.Selvasheela D.Prasanna; The term sentiment analysis deals with sentiment classiﬁcation based on the review made by the user in a social network.The sentiment classiﬁcation accuracy is evaluated using various selection methods,especially thos...; 关键词：Sentiments QER SVM bayes multinomial big data analysis simulated annealing

One-Sample Bayesian Predictive Analyses for a Nonhomogeneous Poisson Process with Delayed S-Shaped Intensity Function Using Non-Informative Priors: 《Open Journal of Statistics》2023年第5期717-733,共17页Otieno Collins Orawo Luke Akong’o Matiri George Munene; The delayed S-shaped software reliability growth model (SRGM) is one of the non-homogeneous Poisson process (NHPP) models which have been proposed for software reliability assessment. The model is distinctive because ...; 关键词：Failure Intensity Non-Informative Priors Software Reliability Model Bayesian Approach Non-Homogeneous Poisson Process

Using Informative Score for Instance Selection Strategy in Semi-Supervised Sentiment Classification: 《Computers, Materials & Continua》2023年第3期4801-4818,共18页Vivian Lee Lay Shan Gan Keng Hoon Tan Tien Ping Rosni Abdullah; This research is supported by Fundamental Research Grant Scheme(FRGS),Ministry of Education Malaysia(MOE)under the project code,FRGS/1/2018/ICT02/USM/02/9 titled,Automated Big Data Annotation for Training Semi-Supervised Deep Learning Model in Sentiment Classification.; Sentiment classification is a useful tool to classify reviews about sentiments and attitudes towards a product or service.Existing studies heavily rely on sentiment classification methods that require fully annotated ...; 关键词：Document-level sentiment classification semi-supervised learning instance selection informative score

Diabetes Prediction Using Derived Features and Ensembling of Boosting Classifiers: 《Computers, Materials & Continua》2022年第10期2013-2033,共21页R.Rajkamal Anitha Karthi Xiao-Zhi Gao; Diabetes is increasing commonly in people’s daily life and represents an extraordinary threat to human well-being.Machine Learning(ML)in the healthcare industry has recently made headlines.Several ML models are devel...; 关键词：Diabetes prediction feature engineering highly informative features ML models ensembling models

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