Byzantine-robust distributed sparse learning for M-estimation

Machine Learning ◽

10.1007/s10994-021-06001-x ◽

2021 ◽

Author(s):

Jiyuan Tu ◽

Weidong Liu ◽

Xiaojun Mao

Keyword(s):

Sparse Learning ◽

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ECMSRC: A Sparse Learning Approach for the Prediction of Extracellular Matrix Proteins

Current Bioinformatics ◽

10.2174/1574893611666151215213508 ◽

2017 ◽

Vol 12 (4) ◽

Author(s):

Imran Naseem ◽

Shujaat Khan ◽

Roberto Togneri ◽

Mohammed Bennamoun

Keyword(s):

Extracellular Matrix ◽

Extracellular Matrix Proteins ◽

Matrix Proteins ◽

Sparse Learning ◽

Learning Approach

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Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2021.3052652 ◽

2021 ◽

pp. 1-15

Author(s):

Zhongwei Huang ◽

Haijun Lei ◽

Guoliang Chen ◽

Alejandro F. Frangi ◽

Yanwu Xu ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Longitudinal Data ◽

Clinical Score ◽

Disease Classification ◽

Sparse Learning

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Unbalanced data processing using deep sparse learning technique

Future Generation Computer Systems ◽

10.1016/j.future.2021.05.034 ◽

2021 ◽

Author(s):

Xing Li ◽

Lei Zhang

Keyword(s):

Data Processing ◽

Sparse Learning ◽

Unbalanced Data ◽

Learning Technique

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Testing of homogeneity of variance and autocorrelation coefficients of nonlinear mixed models with AR(1) errors based on M-estimation

Journal of Applied Statistics ◽

10.1080/02664763.2016.1169259 ◽

2016 ◽

Vol 44 (2) ◽

pp. 362-375

Author(s):

Huihui Sun

Keyword(s):

Mixed Models ◽

Nonlinear Mixed Models ◽

Homogeneity Of Variance ◽

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$M$-estimation in a Gaussian white noise model

The Annals of Statistics ◽

10.1214/aos/1018031212 ◽

1999 ◽

Vol 27 (2) ◽

pp. 675-696 ◽

Author(s):

Yoichi Nishiyama

Keyword(s):

White Noise ◽

Gaussian White Noise ◽

Noise Model ◽

M Estimation ◽

White Noise Model

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Huber-Sense Robust M-Estimation of a Scale Parameter, with Application to the Exponential Distribution

Journal of the American Statistical Association ◽

10.1080/01621459.1979.10481631 ◽

1979 ◽

Vol 74 (365) ◽

pp. 147-152 ◽

Author(s):

Peter F. Thall

Keyword(s):

Exponential Distribution ◽

Scale Parameter ◽

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Robust Spectral Clustering: A Locality Preserving Feature Mapping Based on M-estimation

10.23919/eusipco54536.2021.9616292 ◽

2021 ◽

Author(s):

Aylin Tastan ◽

Michael Muma ◽

Abdelhak M. Zoubir

Keyword(s):

Spectral Clustering ◽

Feature Mapping ◽

Locality Preserving ◽

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On $M$-Processes and $M$-Estimation

The Annals of Statistics ◽

10.1214/aos/1176347021 ◽

1989 ◽

Vol 17 (1) ◽

pp. 337-361 ◽

Author(s):

A. H. Welsh

Keyword(s):

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Local Polynomial M-Estimation in Random Design Regression with Dependent Errors

Springer Proceedings in Mathematics & Statistics - Stochastic Models, Statistics and Their Applications ◽

10.1007/978-3-030-28665-1_16 ◽

2019 ◽

pp. 219-227

Author(s):

Liu Yixuan ◽

J. R. Wishart

Keyword(s):

Random Design ◽

Local Polynomial ◽

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M-estimation using unbiased median variance estimate

Journal of Geodesy ◽

10.1007/s00190-018-1215-2 ◽

2018 ◽

Vol 93 (6) ◽

pp. 911-925 ◽

Author(s):

Ling Yang ◽

Yunzhong Shen ◽

Bofeng Li

Keyword(s):

Variance Estimate ◽

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