MISCLASSIFICATION

作品数：30被引量：20H指数：3
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Unified Classification and Rejection:A One-versus-all Framework
《Machine Intelligence Research》2024年第5期870-887,共18页Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu 
supported by the National Key Research and Development Program,China(No.2018 AAA0100400);National Natural Science Foundation of China(Nos.U20A20223,62222609 and 62076236).
Classifying patterns of known classes and rejecting ambiguous and novel(also called as out-of-distribution(OOD))inputs are involved in open world pattern recognition.Deep neural network models usually excel in closed-...
关键词：Open set recognition out-of-distribution detection misclassification detection convolutional prototype network oneversus-all Dempster-Shafer theory of evidence 
Optimality of Group Testing with Differential Misclassification
《应用概率统计》2024年第4期644-662,共19页LI Yiming ZHANG Hong LIU Aiyi 
supported by the National Natural Science Foundation of China(Grant No.72091212).
Group testing is a method that can be used to estimate the prevalence of rare infectious diseases,which can effectively save time and reduce costs compared to the method of random sampling.However,previous literature ...
关键词：group testing sensitivity SPECIFICITY dilution effect differential misclassification PREVALENCE 
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 
Misclassification analysis of discriminant model
《Applied Mathematics(A Journal of Chinese Universities)》2023年第2期180-191,共12页HUANG Li-wen 
Supported by the National Natural Science Foundation of China(52070119);Key Laboratory of Financial Mathematics of Fujian Province University(Putian University)(JR201801).
This paper extends the criterion of the misclassification ratio of discriminant model and presents a new selection method of discriminant model.For selecting the discriminant model,this method establishes the rule of ...
关键词：discriminant model misclassi cation ratio misclassi cation degree 
Q-learning based strategy analysis of cyber-physical systems considering unequal cost被引量：1
《Intelligent and Converged Networks》2023年第2期116-126,共11页Xin Chen Jixiang Cheng Luanjuan Jiang Qianmu Li Ting Wang Dafang Li 
This paper proposes a cyber security strategy for cyber-physical systems(CPS)based on Q-learning under unequal cost to obtain a more efficient and low-cost cyber security defense strategy with misclassification interf...
关键词：cyber security Q-LEARNING policy selection unequal cost misclassification interference 
Power system transient stability assessment based on the multiple paralleled convolutional neural network and gated recurrent unit被引量：4
《Protection and Control of Modern Power Systems》2022年第1期586-601,共16页Shan Cheng Zihao Yu Ye Liu Xianwang Zuo 
funded by the National Natural Science Foundation of China under Grant No.51607105.
In order to accurately evaluate power system stability in a timely manner after faults,and further improve the feature extraction ability of the model,this paper presents an improved transient stability assessment(TSA...
关键词：Transient stability assessment MP CNN+GRU Sample misclassification Improved focal loss function 
Improvement of Misclassification Rates of Classifying Objects under Box Cox Transformation and Bootstrap Approach
《Open Journal of Statistics》2022年第1期98-108,共11页Mst Sharmin Akter Sumy Md Yasin Ali Parh Ajit Kumar Majumder Nayeem Bin Saifuddin 
Discrimination and classification rules are based on different types of assumptions. Also, all most statistical methods are based on some necessary assumptions. Parametric methods are the best choice if it follows all...
关键词：Misclassification Rate SVM Box Cox Transformation BOOTSTRAPPING 
A clustering-based flexible weighting method in AdaBoost and its application to transaction fraud detection被引量：2
《Science China(Information Sciences)》2021年第12期65-75,共11页Chaofan YANG Guanjun LIU Chungang YAN Changjun JIANG 
supported in part by National Key Research and Development Program of China (Grant No. 2018YFB2100801);Fundamental Research Funds for Central Universities of China (Grant No. 22120190198)。
AdaBoost is a famous ensemble learning method and has achieved successful applications in many fields. The existing studies illustrate that AdaBoost easily suffers from noisy points, resulting in a decline of classifi...
关键词：ensemble learning ADABOOST CLUSTERING misclassification degree transaction fraud detection 
Stochastic SIR Household Epidemic Model with Misclassification
《Open Journal of Statistics》2021年第5期886-905,共20页Umar M. Abdulkarim 
In this work, we developed a theoretical framework leading to misclassification of the final size epidemic data for the stochastic SIR (Susceptible-In
《Research in Astronomy and Astrophysics》2020年第6期239-252,共14页Lin-Jia Li Sheng-Bang Qian Jia Zhang Jia-Jia He Li-Ying Zhu 
Guo Shou Jing Telescope(the Large Sky Area Multi-Object Fiber Spectroscopic Telescope LAMOST)is a National Major Scientific Project built by the Chinese Academy of Sciences;Funding for the project has been provided by the National Development and Reform Commission.LAMOST is operated and managed by the National Astronomical Observatories,Chinese Academy of Sciences;supported by the National Natural Science Foundation of China(Grant Nos.11803084,11703082,11325315,11573063 and 11611530685);the Key Science Foundation of Yunnan Province(No.2017FA001);Funding for the DPAC has been provided by national institutions,in particular the institutions participating in the Gaia Multilateral Agreement。
RR Lyrae stars,a well-known type of pulsating variable stars,have been known about for more than a century.A large amount of photometric data on RR Lyrae stars has been accumulated by space-and ground-based sky survey...
关键词：TECHNIQUES spectroscopic-techniques photometric-stars fundamental parameters-stars variables RR Lyrae 
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