Distributed kernel ridge regression with communications

被引：0
|
作者：
Lin, Shao-Bo [1 ]
Wang, Di [1 ]
Zhou, Ding-Xuan [2 ]
机构：
[1] Center of Intelligent Decision-Making and Machine Learning School of Management, Xi’an Jiaotong University, Xi’an, China
[2] School of Data Science, Department of Mathematics, City University of Hong Kong, Kowloon, Hong Kong
来源：
Journal of Machine Learning Research | 2020年 / 21卷
关键词：
40;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] Automatic Text Summarization using Kernel Ridge Regression
    Onita, Daniela
    Cucu, Ciprian
    2023 25TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING, SYNASC 2023, 2023, : 202 - 209
  • [32] MEDICAL IMAGE DENOISING USING KERNEL RIDGE REGRESSION
    Dinh Hoan Trinh
    Luong, Marie
    Rocchisani, Jean-Marie
    Canh Duong Pham
    Dibos, Francoise
    2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2011, : 1597 - 1600
  • [33] Nuclear mass predictions with anisotropic kernel ridge regression
    Wu, X. H.
    Pan, C.
    PHYSICAL REVIEW C, 2024, 110 (03)
  • [34] FASTER KERNEL RIDGE REGRESSION USING SKETCHING AND PRECONDITIONING
    Avron, Haim
    Clarkson, Kenneth L.
    Woodruff, David P.
    SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 2017, 38 (04) : 1116 - 1138
  • [35] FACE HALLUCINATION USING OLPP AND KERNEL RIDGE REGRESSION
    Kumar, B. G. Vijay
    Aravind, R.
    2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5, 2008, : 353 - 356
  • [36] OPTIMIZING KERNEL RIDGE REGRESSION FOR REMOTE SENSING PROBLEMS
    Mateo-Garcia, Gonzalo
    Laparra, Valero
    Gomez-Chova, Luis
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 4007 - 4010
  • [37] KERNEL RIDGE REGRESSION IN PREDICTING RAILWAY CROSSING ACCIDENTS
    Villalobos, Ethan
    Tarawneh, Constantine
    Chen, Jia
    Papalexakis, Evangelos E.
    Xu, Ping
    PROCEEDINGS OF 2024 JOINT RAIL CONFERENCE, JRC, 2024,
  • [38] Scalable and Memory-Efficient Kernel Ridge Regression
    Chavez, Gustavo
    Liu, Yang
    Ghysels, Pieter
    Li, Xiaoye Sherry
    Rebrova, Elizaveta
    2020 IEEE 34TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM IPDPS 2020, 2020, : 956 - 965
  • [39] Kernel ridge regression using truncated newton method
    Maalouf, Maher
    Homouz, Dirar
    KNOWLEDGE-BASED SYSTEMS, 2014, 71 : 339 - 344
  • [40] Fast Randomized Kernel Ridge Regression with Statistical Guarantees
    El Alaoui, Ahmed
    Mahoney, Michael W.
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 28 (NIPS 2015), 2015, 28
12345