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检索条件"主题词=Expectation-Maximization algorithm"
625 条 记 录,以下是111-120 订阅
排序:
Statistical learning formulation of the DNA base-calling problem and its solution in a Bayesian EM framework
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DISCRETE APPLIED MATHEMATICS 2000年 第1-3期104卷 229-258页
作者: Pereira, MS Andrade, L El Difrawy, S Karger, BL Manolakos, ES Northeastern Univ Dept Elect & Comp Engn Commun & Digital Signal Proc Ctr Boston MA 02115 USA Northeastern Univ Barnett Inst Boston MA 02115 USA
A novel formulation of the important DNA sequence base-calling problem as well as algorithms for its solution are introduced. The proposed approach is to bring DNA base-calling within the framework of a powerful stati... 详细信息
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EM estimation for the mixed Pareto regression model for claim severities
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COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2024年 第15期53卷 5507-5523页
作者: Aradhye, Girish Tzougas, George Bhati, Deepesh Cent Univ Rajasthan Dept Stat Ajmer India Heriot Watt Univ Dept Actuarial Math & Stat Edinburgh Scotland
This article presents a mixed Pareto model and examines its suitability for modeling non life insurance claim severity data sets which exhibit peculiar characteristics that cannot be captured by the Pareto distributio... 详细信息
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Hybrid system of ART and RBF neural networks for online clustering
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APPLIED SOFT COMPUTING 2017年 58卷 1-10页
作者: Bielecki, Andrzej Wojcik, Mateusz AGH Univ Sci & Technol Fac Elect Engn Automat Comp Sci & Biomed Engn Chair Appl Comp Sci Al Mickiewicza 30 PL-30059 Krakow Poland
An online clustering task is considered for machine state monitoring purpose. In the previous authors researches a classical ART-2 network was tested for online classification of operational states in the context of a... 详细信息
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Robust stochastic configuration networks for industrial data modelling with Student's-t mixture distribution
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INFORMATION SCIENCES 2022年 607卷 493-505页
作者: Yan, Aijun Guo, Jingcheng Wang, Dianhui Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China Minist Educ Engn Res Ctr Digital Community Beijing 100124 Peoples R China Beijing Lab Urban Mass Transit Beijing 100124 Peoples R China China Univ Min & Technol Artificial Intelligence Res Inst Xuzhou 221116 Peoples R China Northeastern Univ State Key Lab Synthet Automation Proc Ind Shenyang 110819 Peoples R China La Trobe Univ Dept Comp Sci & Informat Technol Melbourne VIC 3086 Australia China Univ Artificial Intelligence Res Inst Xuzhou Peoples R China
Data collected from industrial sites commonly contains outliers or noise that obey unknown distributions, making it challenging to establish an accurate data-driven model. Therefore, this paper proposes a novel robust... 详细信息
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Statistical Inference for a New Class of Multivariate Pareto Distributions
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COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 2016年 第2期45卷 456-471页
作者: Asimit, Alexandru V. Furman, Edward Vernic, Raluca City Univ London Cass Business Sch London EC1Y 8TZ England York Univ Dept Math & Stat Toronto ON M3J 2R7 Canada Ovidius Univ Constanta Fac Math & Informat Constanta Romania Univ Bucharest Inst Math Stat & Appl Math Bucharest Romania
Various solutions to the parameter estimation problem of a recently introduced multivariate Pareto distribution are developed and exemplified numerically. Namely, a density of the aforementioned multivariate Pareto di... 详细信息
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Rainfall data simulation by hidden Markov model and discrete wavelet transformation
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STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2009年 第7期23卷 863-877页
作者: Jayawardena, A. W. Xu, P. C. Li, W. K. Publ Works Res Inst Int Ctr Water Hazard & Risk Management Tsukuba Ibaraki Japan Chinese Acad Sci Acad Math & Syst Sci Beijing Peoples R China Univ Hong Kong Dept Stat & Actuarial Sci Hong Kong Hong Kong Peoples R China
In many regions, monthly (or bimonthly) rainfall data can be considered as deterministic while daily rainfall data may be treated as random. As a result, deterministic models may not sufficiently fit the daily data be... 详细信息
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Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis
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COMPUTERS & CHEMICAL ENGINEERING 2004年 第8期28卷 1377-1387页
作者: Choi, SW Park, JH Lee, IB Pohang Univ Sci & Technol Dept Chem Engn Pohang 790784 South Korea Pohang Univ Sci & Technol Sch Environm Sci & Engn Pohang 790784 South Korea Pohang Univ Sci & Technol P&I Consulting Co Ltd Pohang 790784 South Korea
Conventional process monitoring based on principal component analysis (PCA) has been applied to many industrial chemical processes. However, such PCA-based approaches assume that the process is operating in a steady s... 详细信息
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Empirical Bayes matrix completion
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2019年 137卷 195-210页
作者: Matsuda, Takeru Komaki, Fumiyasu Univ Tokyo Grad Sch Informat Sci & Technol Dept Math Informat Bunkyo Ku 7-3-1 Hongo Tokyo 1138656 Japan RIKEN Ctr Brain Sci 2-1 Hirosawa Wako Saitama 3510198 Japan
We develop an empirical Bayes (EB) algorithm for the matrix completion problems. The EB algorithm is motivated from the singular value shrinkage estimator for matrix means by Efron and Morris. Since the EB algorithm i... 详细信息
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A Robust Point Set Registration Approach With Multiple Effective Constraints
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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2020年 第12期67卷 10931-10941页
作者: Sun, Jing Sun, Zhan-Li Lam, Kin-Man Zeng, Zhigang Anhui Univ Key Lab Intelligent Comp & Signal Proc Minist Educ Hefei 230601 Peoples R China Anhui Univ Sch Elect Engn & Automat Hefei 230601 Peoples R China Hong Kong Polytech Univ Dept Elect & Informat Engn Hong Kong Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China
How to accurately register point sets still remains a challenging task, due to some unfavorable factors. In this article, a robust point set registration approach is proposed based on the Gaussian mixture model (GMM) ... 详细信息
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BLIND DECONVOLUTION OF FLUORESCENCE MICROGRAPHS BY MAXIMUM-LIKELIHOOD-ESTIMATION
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APPLIED OPTICS 1995年 第29期34卷 6633-6647页
作者: KRISHNAMURTHI, V LIU, YH BHATTACHARYYA, S TURNER, JN HOLMES, TJ YALE UNIV CARDIOL SECT NEW HAVEN CT USA RENSSELAER POLYTECH INST DEPT BIOMED ENGN TROY NY 12180 USA NEW YORK STATE DEPT HLTH WADSWORTH CTR LABS & RES ANAT PATHOL LAB ALBANY NY 12201 USA
We report some recent algorithmic refinements and the resulting simulated and real image reconstructions of fluorescence micrographs by using a blind-deconvolution algorithm based on maximum-likelihood estimation. Bli... 详细信息
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