M-ESTIMATOR

作品数:28被引量:54H指数:5
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相关领域:自动化与计算机技术理学更多>>
相关作者:徐涛郭威王燕玲马利庄朱恒亮更多>>
相关机构:盐城师范学院南京航空航天大学上海交通大学上海师范大学更多>>
相关期刊:《控制与决策》《Acta Mathematicae Applicatae Sinica》《Journal of Modern Accounting and Auditing》《Chinese Annals of Mathematics,Series B》更多>>
相关基金:国家自然科学基金国家高技术研究发展计划河北省自然科学基金国家重点基础研究发展计划更多>>
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基于M-estimator函数的加权深度随机配置网络被引量:1
《计算机学报》2023年第11期2476-2487,共12页丁世飞 张成龙 郭丽丽 张健 丁玲 
国家自然科学基金(62276265,61976216,62206297,61672522)资助。
深度随机配置网络(Deep Stochastic Configuration Network,DSCN)是一种增量式随机化学习模型,具有人为干预程度低、学习效率高和泛化能力强等优点.但是,面向噪声数据回归与分析时,传统的DSCN易受到异常值影响,从而降低了模型的泛化性....
关键词:深度随机配置网络 异常数据 鲁棒性 回归 随机神经网络 
基于M-estimator的鲁棒宽度学习系统被引量:6
《控制与决策》2023年第4期1039-1046,共8页郭威 徐涛 
国家自然科学基金项目(61603326);江苏省心理与认知科学大数据重点建设实验室开放基金项目(72591962004G)。
宽度学习系统(BLS)是最近提出的一种准确且高效的新兴机器学习算法,已在分类、回归等问题中展现出优越的学习性能.然而,传统BLS以最小二乘作为学习准则,易受到离群值的干扰从而生成不准确的学习模型.鉴于此,提出一种基于M-estimator的...
关键词:宽度学习系统 离群值 鲁棒性 M估计 迭代加权最小二乘 拉格朗日乘子法 
Robust and Efficient Reliability Estimation for Exponential Distribution
《Computers, Materials & Continua》2021年第11期2807-2824,共18页Muhammad Aslam Mohd Safari Nurulkamal Masseran Muhammad Hilmi Abdul Majid 
This work is supported by the Universiti Kebangsaan Malaysia[Grant Number DIP-2018-038].
In modeling reliability data,the exponential distribution is commonly used due to its simplicity.For estimating the parameter of the exponential distribution,classical estimators including maximum likelihood estimator...
关键词:Exponential distribution M-ESTIMATOR probability integral transform statistic robust estimation RELIABILITY 
基于M-estimator与可变遗忘因子的在线贯序超限学习机被引量:5
《电子与信息学报》2018年第6期1360-1367,共8页郭威 徐涛 于建江 汤克明 
国家自然科学基金(61603326;61379064;61273106)~~
该文针对时变离群值环境下的在线学习问题,提出一种基于M-estimator与可变遗忘因子的在线贯序超限学习机算法(VFF-M-OSELM)。VFF-M-OSELM以在线贯序超限学习机模型为基础,通过引入一种更加鲁棒的M-estimator代价函数来替代传统的最小二...
关键词:在线贯序超限学习机 M-估计 可变遗忘因子 鲁棒性 自适应性 
Moderate deviations for estimators under exponentially stochastic differentiability conditions
《Frontiers of Mathematics in China》2018年第1期25-40,共16页Fuqing GAO Qiaojing LIU 
We introduce two exponentially stochastic differentiability conditions to study moderate deviations for M-estimators. Under a generalized exponentially stochastic differentiability condition, a moderate deviation prin...
关键词:M-ESTIMATOR exponentially stochastic differentiability moderatedeviations 
M-estimation for Periodic GARCH Model with High-frequency Data
《Acta Mathematicae Applicatae Sinica》2017年第3期717-730,共14页Peng-ying FAN Si-xin WU Zi-long ZHAO Min CHEN 
Supported by the National Natural Science Foundation of China(No.71673315);Foundation of Beijing Technology and Business University(LKJJ2016-03);Capital Circulation Research Base(JD-YB-2017-016)
This paper studies an M-estimator of a proxy periodic GARCH (p, q) scaling model and establishes its consistency and asymptotic normality. Simulation studies are carried out to assess the performance of the estimato...
关键词:asymptotic normality CONSISTENCY high-frequency data PGARCH model M-ESTIMATOR 
Robust low-rank data matrix approximations被引量:1
《Science China Mathematics》2017年第2期189-200,共12页FENG XingDong HE XuMing 
supported by National Natural Science Foundation of China (Grant No. 11571218);the State Key Program in the Major Research Plan of National Natural Science Foundation of China (Grant No. 91546202);Program for Changjiang Scholars and Innovative Research Team in Shanghai University of Finance and Economics (Grant No. IRT13077);Program for Innovative Research Team of Shanghai University of Finance and Economics
We review some recent approaches to robust approximations of low-rank data matrices.We consider the problem of estimating a low-rank mean matrix when the data matrix is subject to measurement errors as well as gross o...
关键词:dimension reduction low-rank M-ESTIMATOR regression robust estimator singular value decom-position 
Study of M-estimator Variational Retrieval Using Simulated Feng Yun-3A Data
《Meteorological and Environmental Research》2016年第3期1-6,共6页Wang Gen Wen Huayang Qiu Kangjun Xie Wei 
Supported by Special Scientific Research Fund of Meteorological Public Welfare Profession of China(GYHY201406028);Meteorological Open Research Fund for Huaihe River Basin(HRM201407);Anhui Meteorological Bureau Science and Technology Development Fund(RC201506)
This paper adopts satellite channel brightness temperature simulation to study M-estimator variational retrieval. This approach combines both the advantages of classical variational inversion and robust M-estimators. ...
关键词:Non-Gaussian M-ESTIMATOR Variational retrieval Re-estimated contribution rate FY-3A simulated data 
基于自适应权值的点云三维物体重建算法研究被引量:3
《图学学报》2016年第2期143-148,共6页林晓 王燕玲 朱恒亮 胡甘乐 马利庄 李鲁群 
国家自然科学基金项目(U1304616;61502220)
基于三维扫描点云数据的三维物体重建是计算机图形学中非常重要的课题,在计算机动画、医学图像处理等多方面都有应用。其中基于最小二乘问题的Levenberg-Marquart算法和基于极大似然估计的M-Estimator算法都是不错的方案。但是当点的数...
关键词:Levenberg-Marquart M-ESTIMATOR 自适应权值 点云 重建 
Robust SLAM using square-root cubature Kalman filter and Huber's GM-estimator
《High Technology Letters》2016年第1期38-46,共9页徐巍军 Jiang Rongxin Xie Li Tian Xiang Chen Yaowu 
Supported by the National High Technology Research and Development Program of China(2010AA09Z104);the Fundamental Research Funds of the Zhejiang University(2014FZA5020)
Mobile robot systems performing simultaneous localization and mapping(SLAM) are generally plagued by non-Gaussian noise.To improve both accuracy and robustness under non-Gaussian measurement noise,a robust SLAM algori...
关键词:square-root cubature Kalman filter simultaneous localization and mapping(SLAM) Huber' s GM-estimator ROBUSTNESS 
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