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检索条件"主题词=majorization-minimization algorithm"
25 条 记 录,以下是1-10 订阅
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Large-scale robust regression with truncated loss via majorization-minimization algorithm
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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2024年 第2期319卷 494-504页
作者: Huang, Ling-Wei Shao, Yuan-Hai Lv, Xiao-Jing Li, Chun-Na Hainan Univ Int Business Sch Haikou 570228 Peoples R China Hainan Univ Sch Math & Stat Haikou 570228 Peoples R China
The utilization of regression methods employing truncated loss functions is widely praised for its robustness in handling outliers and representing the solution in the sparse form of the samples. However, due to the n... 详细信息
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Fuzzy serial-parallel stochastic configuration networks based on nonconvex dynamic membership function optimization
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INFORMATION SCIENCES 2025年 690卷
作者: Qiao, Jinghui Qiao, Jiayu Gao, Peng Bai, Zhe Xiong, Ningkang Shenyang Univ Technol Sch Mech Engn Shenyang 110870 Peoples R China Northeastern Univ Sch Resources & Civil Engn Shenyang 110819 Peoples R China Natl Local Joint Engn Res Ctr High Efficient Expl Shenyang 110819 Peoples R China
A fuzzy series-parallel stochastic configuration networks (F-SPSCN) is proposed based on the application of nonconvex optimization in fuzzy systems. Firstly, the kernel density estimation method is used to fit the dis... 详细信息
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Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions
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ADVANCES IN DATA ANALYSIS AND CLASSIFICATION 2024年 第3期18卷 597-625页
作者: Browne, Ryan P. Bagnato, Luca Punzo, Antonio Univ Waterloo Dept Stat & Actuarial Sci Waterloo ON Canada Univ Cattolica Sacro Cuore Dept Econ & Social Sci Milan Italy Univ Catania Dept Econ & Business Catania Italy
Mixtures of multivariate leptokurtic-normal distributions have been recently introduced in the clustering literature based on mixtures of elliptical heavy-tailed distributions. They have the advantage of having parame... 详细信息
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A majorization-minimization scheme for L2 support vector regression
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JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2021年 第15期91卷 3087-3107页
作者: Zheng, Songfeng Missouri State Univ Dept Math Springfield MO 65897 USA
In a support vector regression (SVR) model, using the squared epsilon-insensitive loss function makes the optimization problem strictly convex and yields a more concise solution. However, the formulation of L-2-SVR le... 详细信息
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A dimension reduction assisted credit scoring method for big data with categorical features
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FINANCIAL INNOVATION 2025年 第1期11卷 1-30页
作者: Miljkovic, Tatjana Wang, Pei Miami Univ Dept Stat 100 Bishop Circle 334E Upham Hall Oxford OH 45056 USA Bowling Green State Univ Dept Appl Stat & Operat Res 819 E Wooster St Bowling Green OH 43403 USA
In the past decade, financial institutions have invested significant efforts in the development of accurate analytical credit scoring models. The evidence suggests that even small improvements in the accuracy of exist... 详细信息
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A nonconvex sparse recovery method for DOA estimation based on the trimmed lasso
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DIGITAL SIGNAL PROCESSING 2024年 153卷
作者: Bai, Longxin Zhang, Jingchao Qiao, Liyan Harbin Inst Technol Dept Automatic Test & Control Harbin 150001 Peoples R China
Sparse direction -of -arrival (DOA) estimation methods can be formulated as a group -sparse optimization problem. Meanwhile, sparse recovery methods based on nonconvex penalty terms have been a hot topic in recent yea... 详细信息
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Acoustic object canceller: removing a known signal from monaural recording using blind synchronization
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EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING 2023年 第1期2023卷 35页
作者: Kawamura, Takao Yamaoka, Kouei Wakabayashi, Yukoh Ono, Nobutaka Miyazaki, Ryoichi Tokyo Metropolitan Univ Dept Comp Sci Tokyo Japan Toyohashi Univ Technol Dept Comp Sci & Engn Toyohashi Aichi Japan Tokuyama Coll Natl Inst Technol Dept Comp Sci & Elect Engn Yamaguchi Japan
In this paper, we propose a technique for removing a specific type of interference from a monaural recording. Nonstationary interferences are generally challenging to eliminate from such recordings. However, if the in... 详细信息
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Adaptively robust geographically weighted regression
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SPATIAL STATISTICS 2022年 48卷 100623-100623页
作者: Sugasawa, Shonosuke Murakami, Daisuke Univ Tokyo Ctr Spatial Informat Sci Tokyo Japan Inst Stat Math Dept Stat Data Sci Tokyo Japan 5-1-5 Kashiwanoha Kashiwa Chiba 2778568 Japan
We develop a new robust geographically weighted regression method in the presence of outliers. We embed the standard geographically weighted regression in robust objective function based on gamma-divergence. A novel f... 详细信息
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L1 model-driven recursive multi-scale denoising network for image super-resolution
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KNOWLEDGE-BASED SYSTEMS 2021年 225卷 107115-107115页
作者: Sun, Zhongfan Zhao, Jianwei Zhou, Zhenghua Gao, Qingqing China Jiliang Univ Coll Sci Dept Informat Sci & Math Hangzhou 310018 Peoples R China Nanjing Univ State Key Lab Novel Software Technol Nanjing 210093 Peoples R China
Most existing deep learning based single-image super-resolution (SISR) methods mainly improve the reconstruction performances from the perspective of data-driven, i.e., widening or deepening the networks according to ... 详细信息
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A nonparametric Bayesian model for system identification based on a super-Gaussian distribution
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ELECTRONICS AND COMMUNICATIONS IN JAPAN 2019年 第7期102卷 32-40页
作者: Tanji, Hiroki Murakami, Takahiro Kamata, Hiroyuki Meiji Univ Sch Sci & Technol Dept Elect & Bioinformat JSPS Res Fellowship Young Specialists DC2 Kawasaki Kanagawa Japan Meiji Univ Sch Sci & Technol Dept Elect & Bioinformat Kawasaki Kanagawa Japan
In the acoustic signal processing applications of finite impulse response (FIR) system identification, it is important to develop the identification method that is robust to super-Gaussian noises. Moreover, the identi... 详细信息
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