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检索条件"主题词=Coordinate descent algorithm"
63 条 记 录,以下是21-30 订阅
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Polarimetric FDA-MIMO Radar Detection
Polarimetric FDA-MIMO Radar Detection
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IEEE Radar Conference (RadarConf)
作者: Rosamilia, Massimo Lan, Lan Aubry, Augusto De Maio, Antonio Univ Naples Federico II Dept Elect Engn & Informat Technol I-80125 Naples Italy Xidian Univ Natl Key Lab Radar Signal Proc Xian 710071 Peoples R China
The problem of adaptive radar detection with a polarimetric Frequency Diverse Array Multiple-Input Multiple-Output (FDA-MIMO) radar is addressed in this paper. The target detection problem, formulated as a composite h... 详细信息
来源: 评论
A hybrid algorithm for the search of long binary sequences with low aperiodic autocorrelations
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SOFT COMPUTING 2021年 第20期25卷 12725-12744页
作者: Zhang, Mingxing Zhou, Zhengchun Yang, Meng Liu, Zilong Yang, Yang Southwest Jiaotong Univ Sch Informat Sci & Technol Chengdu Peoples R China Southwest Jiaotong Univ Sch Math Chengdu Peoples R China Univ Essex Sch Comp Sci & Elect Engn Colchester Essex England
Binary sequences with low aperiodic autocorrelation play an important role in communication and radar. The search of long low autocorrelation binary sequences (LABS) is a classical but challenging research problem. Ex... 详细信息
来源: 评论
Penalized I-spline monotone regression estimation
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COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 2021年 第11期50卷 3714-3732页
作者: Choi, Junsouk Lee, JungJun Jhong, Jae-Hwan Koo, Ja-Yong Korea Univ Dept Stat Seoul 02841 South Korea
We propose a penalized regression spline estimator for monotone regression. To construct the estimator, we adopt the I-splines with the total variation penalty. The I-splines lend themselves to the monotonicity becaus... 详细信息
来源: 评论
coordinate optimization for generalized fused Lasso
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COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2021年 第24期50卷 5955-5973页
作者: Ohishi, M. Fukui, K. Okamura, K. Itoh, Y. Yanagihara, H. Hiroshima Univ Grad Sch Sci Higashihiroshima Japan Osaka Med Coll Res & Dev Ctr Takatsuki Osaka Japan Tokyo Kantei Co Ltd Shinagawa Japan Hiroshima Univ Educ & Res Ctr Artificial Intelligence & Data Inn Hiroshima Japan Hiroshima Univ Grad Sch Adv Sci & Engn Higashihiroshima Japan
Fused Lasso is one of extensions of Lasso to shrink differences of parameters. We focus on a general form of it called generalized fused Lasso (GFL). The optimization problem for GFL can be came down to that for gener... 详细信息
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Generalized fused Lasso for grouped data in generalized linear models
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STATISTICS AND COMPUTING 2024年 第4期34卷 124-124页
作者: Ohishi, Mineaki Tohoku Univ Ctr Data Driven Sci & Artificial Intelligence Kawauchi 41Aoba Ku Sendai Miyagi 9808576 Japan
Generalized fused Lasso (GFL) is a powerful method based on adjacent relationships or the network structure of data. It is used in a number of research areas, including clustering, discrete smoothing, and spatio-tempo... 详细信息
来源: 评论
Usage of the GO estimator in high dimensional linear models
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COMPUTATIONAL STATISTICS 2021年 第1期36卷 217-239页
作者: Genc, Murat Ozkale, M. Revan Cukurova Univ Fac Sci & Letters Dept Stat TR-01330 Adana Turkey
This paper discusses simultaneous parameter estimation and variable selection and presents a new penalized regression method. The method is based on the idea that the coefficient estimates are shrunken towards a prede... 详细信息
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Outlier detection under a covariate-adjusted exponential regression model with censored data
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COMPUTATIONAL STATISTICS 2021年 第2期36卷 961-976页
作者: Pan, Yingli Liu, Zhan Song, Guangyu Hubei Univ Fac Math & Stat Hubei Key Lab Appl Math Wuhan 430062 Peoples R China
Exponential regression models with censored data are most widely used in practice. In the modeling process, there exist situations where the covariates are not directly observed but are observed after being contaminat... 详细信息
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Additive Poisson regression via forced categorical covariates and generalized fused Lasso
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Procedia Computer Science 2023年 225卷 1987-1996页
作者: Mariko Yamamura Mineaki Ohishi Hirokazu Yanagihara
In this study, we use the log-linear link function and propose a generalized fused Lasso (GFL) Poisson regression model in which the nonlinear trend is discretely represented by categorical covariates in the additive ... 详细信息
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A coordinate descent MM algorithm for fast computation of sparse logistic PCA
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2013年 62卷 26-38页
作者: Lee, Seokho Huang, Jianhua Z. Hankuk Univ Foreign Studies Dept Stat Seoul South Korea Texas A&M Univ Dept Stat College Stn TX 77843 USA
Sparse logistic principal component analysis was proposed in Lee et al. (2010) for exploratory analysis of binary data. Relying on the joint estimation of multiple principal components, the algorithm therein is comput... 详细信息
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Spatio-Temporal Adaptive Fused Lasso for Proportion Data  13th
Spatio-Temporal Adaptive Fused Lasso for Proportion Data
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13th International KES Conference on Intelligent Decision Technologies (KES-IDT)
作者: Yamamura, Mariko Ohishi, Mineaki Yanagihara, Hirokazu Radiat Effects Res Fdn Dept Stat Minami Ku 5-2 Hijiyama Pk Hiroshima 7320815 Japan Hiroshima Univ Educ & Res Ctr AI & Data Innovat Naka Ku 1-1-89 Higashi Senda Hiroshima 7300053 Japan Hiroshima Univ Grad Sch Adv Sci & Engn 1-3-1 Kagamiyama Higashihiroshima Hiroshima 7398526 Japan
Population-corrected rates are often used in statistical documents that show the features of a municipality. In addition, it is important to determine changes of the features over time, and for this purpose, data coll... 详细信息
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