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检索条件"主题词=Expectation Maximization Algorithm"
643 条 记 录,以下是421-430 订阅
排序:
Gaussian-input Gaussian mixture model for representing density maps and atomic models
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JOURNAL OF STRUCTURAL BIOLOGY 2018年 第1期203卷 1-16页
作者: Kawabata, Takeshi Osaka Univ Inst Prot Res 3-2 Yamadaoka Suita Osaka 5650871 Japan
A new Gaussian mixture model (GMM) has been developed for better representations of both atomic models and electron microscopy 3D density maps. The standard GMM algorithm employs an EM algorithm to determine the param... 详细信息
来源: 评论
Prediction of Slope Stability using Naive Bayes Classifier
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KSCE JOURNAL OF CIVIL ENGINEERING 2018年 第3期22卷 941-950页
作者: Feng, Xianda Li, Shuchen Yuan, Chao Zeng, Peng Sun, Yang Univ Jinan Sch Civil Engn & Architecture Jinan Shandong Peoples R China Shandong Univ Geotech Struct Engn Res Ctr Jinan Shandong Peoples R China Univ Grenoble Alpes Lab 3SR Grenoble France Chengdu Univ Technol State Key Lab Geohazard Prevent & Geoenvironm Pro Chengdu Sichuan Peoples R China
Slope stability prediction is of primary concern in identifying terrain that is susceptible to landslides and mitigating the damages caused by landslides. In this study, a Naive Bayes Classifier (NBC) was employed to ... 详细信息
来源: 评论
Mixed Gaussian Models for Modeling Fluctuation Process Characteristics of Photovoltaic Outputs
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FRONTIERS IN ENERGY RESEARCH 2019年 7卷
作者: Wang, Zhenhao Kang, Jia Cheng, Long Pei, Zheyi Dong, Cun Liang, Zhifeng Northeast Elect Power Univ Sch Elect Engn Jilin Jilin Peoples R China Natl Elect Power Dispatching & Commun Ctr Beijing Peoples R China
In order to model fluctuation process characteristics of photovoltaic (PV) outputs, this paper proposes a novel mixed Gaussian model with the expectation maximization (EM) algorithm. Firstly, random components of PV o... 详细信息
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A Note on Parameters Estimation for Nonlinear Wiener Processes With Measurement Errors
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IEEE ACCESS 2019年 7卷 176756-176766页
作者: Tang, Shengjin Yu, Chuanqiang Sun, Xiaoyan Fan, Hongdong Si, Xiaosheng High Tech Inst Xian Xian 710025 Peoples R China
The nonlinear Wiener process has been widely used as a model for the degradation process. This note concerns parameters estimation of nonlinear Wiener processes with measurement errors (WPME) by the maximum likelihood... 详细信息
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expectation maximization estimates of the offspring probabilities in a class of multitype branching processes with binary family trees
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MATHEMATICAL POPULATION STUDIES 2017年 第4期24卷 246-256页
作者: Daskalova, Nina Sofia Univ St Kliment Ohridski Fac Math & Informat 5 James Bourchier Blvd Sofia 1164 Bulgaria
When proliferating cells are counted in several independent colonies at some time points, the maximum likelihood estimates of the parameters of the multitype branching process are obtained trough an expectation maximi... 详细信息
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Lifetime Estimation for Multi-Phase Deteriorating Process with Random Abrupt Jumps
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SENSORS 2019年 第6期19卷 1472.-1472.页
作者: Zhang, Jianxun Si, Xiaosheng Du, Dangbo Hu, Chen Hu, Changhua Xian Res Inst High Tech Dept Automat Xian 710025 Shaanxi Peoples R China Xi An Jiao Tong Univ Key Lab Educ Minist Modern Design & Rotor Bearing Syst Xian 710049 Shaanxi Peoples R China
Owing to operating condition changing, physical mutation, and sudden shocks, degradation trajectories usually exhibit multi-phase features, and the abrupt jump often appears at the changing time, which makes the tradi... 详细信息
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Label Fusion Based Brain MR Image Segmentation via a Latent Selective Model  9
Label Fusion Based Brain MR Image Segmentation via a Latent ...
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9th International Conference on Graphic and Image Processing (ICGIP)
作者: Liu, Gang Guo, Xiantang Zhu, Kai Liao, Hengxu Shanghai Univ Elect Power Sch Automat Engn Shanghai 200090 Peoples R China State Grid Corp China Jinhua Power Supply Co Hangzhou 321000 Zhejiang Peoples R China
Multi-atlas segmentation is an effective approach and increasingly popular for automatically labeling objects of interest in medical images. Recently, segmentation methods based on generative models and patch-based te... 详细信息
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Outlier Detection algorithm Based on Gaussian Mixture Model
Outlier Detection Algorithm Based on Gaussian Mixture Model
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IEEE International Conference on Power, Intelligent Computing and Systems
作者: Wenbo Liu Delong Cui Zhiping Peng Jihai Zhong Faulty of Computer Science Guangdong University of Technology Department of Computer and Electronic Information Guangdong University of Petrochemical Technology
Outlier detection is an important aspect in the field of data mining. In order to solve the problem of outlier detection in high-dimensional datasets, an outlier detection algorithm based on Gaussian mixture model is ... 详细信息
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Identification of ARX System Based on Shifted Asymmetric Laplace Distribution
Identification of ARX System Based on Shifted Asymmetric Lap...
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第三十八届中国控制会议
作者: Miao Yu Tianyi Zhang Xianqiang Yang Research Institute of Intelligent Control and System Harbin Institute of Technology
The identification of AutoRegressive eXogenous(ARX) model by outliers is addressed in this paper. Shifted(noncentralized) asymmetric Laplace(SAL) distribution and expectation maximization(EM) algorithm are employed to... 详细信息
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Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm
arXiv
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arXiv 2019年
作者: Barigozzi, Matteo Luciani, Matteo Università di Bologna Italy Federal Reserve Board United States
We study estimation of large Dynamic Factor models implemented through the expectation maximization (EM) algorithm, jointly with the Kalman smoother. We prove that as both the cross-sectional dimension, n, and the sam... 详细信息
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