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检索条件"主题词=Coordinate descent algorithm"
63 条 记 录,以下是31-40 订阅
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Optimizations for Categorizations of Explanatory Variables in Linear Regression via Generalized Fused Lasso  13th
Optimizations for Categorizations of Explanatory Variables i...
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13th International KES Conference on Intelligent Decision Technologies (KES-IDT)
作者: Ohishi, Mineaki Okamura, Kensuke Itoh, Yoshimichi Yanagihara, Hirokazu Hiroshima Univ Educ & Res Ctr Artificial Intelligence & Data Inn Hiroshima 7300053 Japan Tokyo Kantei Co Ltd Shinagawa 1410021 Japan Hiroshima Univ Grad Sch Adv Sci & Engn Higashihiroshima 7398526 Japan
In linear regression, a non-linear structure can be naturally considered by transforming quantitative explanatory variables to categorical variables. Moreover, smaller categories make estimation more flexible. However... 详细信息
来源: 评论
Penalized log-density estimation using Legendre polynomials
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COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 2020年 第11期49卷 2844-2860页
作者: Lee, JungJun Jhong, Jae-Hwan Cho, Young-Rae Kim, SungHwan Koo, Ja-Yong Korea Univ Dept Stat Seoul South Korea ETUDE Corp Seoul South Korea Konkuk Univ Dept Appl Stat Seoul South Korea
In this article, we present a penalized log-density estimation method using Legendre polynomials with l(1) penalty to adjust estimate's smoothness. Re-expressing the logarithm of the density estimator via a linear... 详细信息
来源: 评论
Penalized logspline density estimation using total variation penalty
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2021年 153卷 107060-107060页
作者: Bak, Kwan-Young Jhong, Jae-Hwan Lee, JungJun Shin, Jae-Kyung Koo, Ja-Yong Korea Univ Dept Stat Seoul 02841 South Korea Chungbuk Natl Univ Dept Informat Stat Chungcheongbuk Do 28644 South Korea LG Display AI BigData Anal Team 245 LG Ro Paju Si 10845 Gyeonggi Do South Korea
We study a penalized logspline density estimation method using a total variation penalty. The B-spline basis is adopted to approximate the logarithm of density functions. Total variation of derivatives of splines is p... 详细信息
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A new methodology for evaluating profile and position errors of blade based on parameter priority
A new methodology for evaluating profile and position errors...
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International Conference on Optical Instruments and Technology (OIT) - Optoelectronic Measurement Technology and Systems
作者: Hao, Junjie Huang, Junhui Wang, Zhao Gao, Janmin Xi An Jiao Tong Univ Sch Mech Engn Xian 710049 Peoples R China Xi An Jiao Tong Univ Western China Inst Qual Sci & Technol Xian 710049 Peoples R China
As one of the core components of a turbine, the quality of the blade manufacturing has a strong impact on the energy conversion efficiency of the turbine, where the key technology of quality evaluation of blades is po... 详细信息
来源: 评论
SPARSE MODELING ON DISTRIBUTED ENCRYPTION DATA
SPARSE MODELING ON DISTRIBUTED ENCRYPTION DATA
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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Bandoh, Yukihiro Nakachi, Takayuki Kiya, Hiroshi NTT Corp Yokosuka Kanagawa 2390847 Japan Tokyo Metropolitan Univ Tokyo 1910065 Japan
Big-data analysis by edge/cloud systems is becoming more important. However, when information may lead to personal identification, such information tends to be encrypted and restricted to its owners to ensure privacy ... 详细信息
来源: 评论
Simultaneous estimation of quantile regression functions using B-splines and total variation penalty
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2019年 133卷 228-244页
作者: Jhong, Jae-Hwan Koo, Ja-Yong Korea Univ Dept Stat Seoul 02841 South Korea
We consider the problem of simultaneously estimating a finite number of quantile functions with B-splines and the total variation penalty. For the implementation of simultaneous quantile function estimators, we develo... 详细信息
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High-Performance GLR Detector for Moving Target Detection in OFDM Radar-Based Vehicular Networks
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WIRELESS PERSONAL COMMUNICATIONS 2019年 第2期108卷 751-768页
作者: Kafshgari, Shaghayegh Mohseni, Reza Samadi, Sadegh Khosravi, Mohammad Reza Shiraz Univ Technol Dept Elect & Elect Engn Shiraz Iran
Nowadays, orthogonal frequency division multiplexing (OFDM) radars have been used in many applications such as target detection and recognition in vehicular networks and surveillance systems, according to their freque... 详细信息
来源: 评论
Penalized empirical likelihood for the sparse Cox regression model
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JOURNAL OF STATISTICAL PLANNING AND INFERENCE 2019年 201卷 71-85页
作者: Wang, Dongliang Wu, Tong Tong Zhao, Yichuan SUNY Upstate Med Univ Dept Publ Hlth & Prevent Med Syracuse NY 13210 USA Univ Rochester Dept Biostat & Computat Biol Rochester NY 14627 USA Georgia State Univ Dept Math & Stat Atlanta GA 30303 USA
The current penalized regression methods for selecting predictor variables and estimating the associated regression coefficients in the sparse Cox model are mainly based on partial likelihood. In this paper, a bias-co... 详细信息
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Variable selection and estimation using a continuous approximation to the L0 penalty
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ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 2018年 第1期70卷 191-214页
作者: Wang, Yanxin Fan, Qibin Zhu, Li Ningbo Univ Technol Sch Sci Ningbo 315211 Zhejiang Peoples R China Univ Warwick Dept Stat Coventry CV4 7AL W Midlands England Wuhan Univ Sch Math & Stat Wuhan 430072 Hubei Peoples R China Xiamen Univ Technol Sch Appl Math Xiamen 361024 Peoples R China
Variable selection problems are typically addressed under the regularization framework. In this paper, an exponential type penalty which very closely resembles the L-0 penalty is proposed, we called it EXP penalty. Th... 详细信息
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Sparse factor regression via penalized maximum likelihood estimation
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STATISTICAL PAPERS 2018年 第2期59卷 633-662页
作者: Hirose, Kei Imada, Miyuki Kyushu Univ Inst Math Ind Nishi Ku 744 Motooka Fukuoka 8190395 Japan NTT Network Innovat Labs 3-9-11 Midori Cho Musashino Tokyo 1808585 Japan
In factor regression model, the maximum likelihood estimation suffers from three disadvantages: (i) the maximum likelihood estimates are unavailable when the number of variables exceeds the number of observations, (ii... 详细信息
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