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检索条件"主题词=em algorithm"
4566 条 记 录,以下是201-210 订阅
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On regime changes in text data using hidden Markov model of contaminated vMF distribution
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DATA MINING AND KNOWLEDGE DISCOVERY 2024年 第6期38卷 3563-3589页
作者: Zhang, Yingying Sarkar, Shuchismita Chen, Yuanyuan Zhu, Xuwen Western Michigan Univ Kalamazoo MI 49008 USA Bowling Green Univ Bowling Green OH 43402 USA Univ Alabama Tuscaloosa AL 35487 USA
This paper presents a novel methodology for analyzing temporal directional data with scatter and heavy tails. A hidden Markov model with contaminated von Mises-Fisher emission distribution is developed. The model is i... 详细信息
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Probabilistic Principal Curves on Riemannian Manifolds
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2024年 第7期46卷 4843-4849页
作者: Kang, Seungwoo Oh, Hee-Seok Seoul Natl Univ Dept Stat Seoul 08826 South Korea
This paper studies a new curve-fitting approach to data on Riemannian manifolds. We define a principal curve based on a mixture model for observations and unobserved latent variables and propose a new algorithm to est... 详细信息
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A Probabilistic Quality-Relevant Monitoring Method With Gaussian Mixture Model
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IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2025年 22卷 4790-4801页
作者: Yu, Wanke Zhao, Chunhui Huang, Biao Yang, Hui East China Jiaotong Univ Sch Elect & Automat Engn Nanchang 330013 Peoples R China Univ Alberta Dept Chem & Mat Engn Edmonton AB T6G 2G6 Canada Zhejiang Univ Coll Control Sci & Engn Hangzhou 310027 Peoples R China
Process uncertainty, which is usually caused by various factors, is generally subject to unknown complex distribution. However, many existing monitoring methods are established with a single distribution, and thus the... 详细信息
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Multimodal information capture based truth inference network in crowdsourcing
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EXPERT SYSTemS WITH APPLICATIONS 2025年 273卷
作者: Han, Tao Ding, Xinyi Fang, Yili Zhejiang Gongshang Univ Hangzhou Peoples R China
Truth inference of truth from crowdsourced data presents a formidable challenge that has been widely recognized in the field. Recently, there has been a surge in deep learning and Bayesian methods that rely on task fe... 详细信息
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Robust mixture regression via an asymmetric exponential power distribution
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COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 2024年 第5期53卷 2486-2497页
作者: Jiang, Yunlu Huang, Meilan Wei, Xie Tonghua, Hu Hang, Zou Jinan Univ Coll Econ Dept Stat Guangzhou 510632 Peoples R China Jilin Univ Northeast Asian Res Ctr Changchun Peoples R China Yongzhou Vocat Tech Coll Yongzhou Peoples R China
Finite mixture of linear regression (FMLR) models are an efficient tool to fit the unobserved heterogeneous relationships. The parameter estimation of FMLR models is usually based on the normality assumption, but it i... 详细信息
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DS-TFSN-Based Vehicle Travel Time Prediction Method for Digital Twin System of Freeways
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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTemS 2024年 第12期25卷 20073-20084页
作者: Zhang, Weibin Zha, Huazhu Gan, Lu Li, Qianmu Nanjing Univ Sci & Technol Sch Elect & Opt Engn Nanjing 210094 Peoples R China Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing 210094 Peoples R China
In digital twin systems for freeways, it is essential to track individual vehicles. When sensing devices cannot fully cover an entire road, it is necessary to accurately predict the travel time of individual vehicles.... 详细信息
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Composite likelihood methods for parsimonious model-based clustering of mixed-type data
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ADVANCES IN DATA ANALYSIS AND CLASSIFICATION 2024年 第2期18卷 381-407页
作者: Ranalli, Monia Rocci, Roberto Sapienza Univ Rome Piazzale Aldo Moro 5 Rome Italy
In this paper, we propose twelve parsimonious models for clustering mixed-type (ordinal and continuous) data. The dependence among the different types of variables is modeled by assuming that ordinal and continuous da... 详细信息
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An extended exponential hyper-Poisson distribution: Properties and applications
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COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2024年 第12期53卷 4311-4333页
作者: Kumar, C. Satheesh Satheenthar, A. S. Univ Kerala Dept Stat Thiruvananthapuram India
Here we propose a new class of probability distributions as an extended version of the exponential hyper-Poisson distribution and Weibull Poisson distribution. We investigate several important aspects of the distribut... 详细信息
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Recursive Least Squares With Minimax Concave Penalty Regularization for Adaptive System Identification
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IEEE ACCESS 2024年 12卷 66993-67004页
作者: Li, Bowen Wu, Suya Tripp, Erin E. Pezeshki, Ali Tarokh, Vahid Colorado State Univ Dept Elect & Comp Engn Ft Collins CO 80523 USA Duke Univ Dept Elect & Comp Engn Durham NC 27708 USA USAF Res Lab Rome NY 13441 USA
We develop a recursive least squares (RLS) type algorithm with a minimax concave penalty (MCP) for adaptive identification of a sparse tap-weight vector that represents a communication channel. The proposed algorithm ... 详细信息
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Post-selection inference in regression models for group testing data
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BIOMETRICS 2024年 第3期80卷 ujae101页
作者: Shen, Qinyan Gregory, Karl Huang, Xianzheng Univ South Carolina Dept Stat 219 LeConte1523 Greene St Columbia SC 29208 USA
We develop a methodology for valid inference after variable selection in logistic regression when the responses are partially observed, that is, when one observes a set of error-prone testing outcomes instead of the t... 详细信息
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