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A Regularized Variable Projection Algorithm for Separable Nonlinear Least-Squares Problems Journal article
IEEE Transactions on Automatic Control, 2019,Volume: 64,Issue: 2,Page: 526-537
Authors:  Chen G.-Y.;  Gan M.;  Chen C.L.P.;  Li H.-X.
Favorite | View/Download:18/0 | TC[WOS]:71 TC[Scopus]:76 | Submit date:2019/02/11
Data fitting  regularization  separable nonlinear least squares (SNLLS)  variable projection (VP)  weighted generalized cross validation (WGCV)  
Regularized estimation for the least absolute relative error models with a diverging number of covariates Journal article
Computational Statistics and Data Analysis, 2016,Volume: 96,Page: 104-119
Authors:  Xia X.;  Liu Z.;  Yang H.
Favorite | View/Download:8/0 | TC[WOS]:4 TC[Scopus]:4 | Submit date:2019/02/14
Diverging Number Of Covariates  Least Absolute Relative Error  Least Squares Approximation  Oracle Properties  Variable Selection  
Graph-based lexicon regularization for PCFG with latent annotations Journal article
IEEE Transactions on Audio, Speech and Language Processing, 2015,Volume: 23,Issue: 3,Page: 441-450
Authors:  Zeng X.;  Wong D.F.;  Chao L.S.;  Trancoso I.
Favorite | View/Download:14/0 | TC[WOS]:2 TC[Scopus]:4 | Submit date:2018/12/24
Graph Propagation  Natural Language Processing  Neural Word Representation  Syntax Parsing  
An adaptive regularization method for sparse representation Journal article
Integrated Computer-Aided Engineering, 2014,Volume: 21,Issue: 1,Page: 91-100
Authors:  Xu B.;  Guo P.;  Chen C.L.P.
Favorite | View/Download:8/0 | TC[WOS]:5 TC[Scopus]:7 | Submit date:2019/02/11
Adaptive regularization parameter estimation  L1 norm minimization  Sparse representation classification  
Multi-regularization parameters estimation for Gaussian mixture classifier based on MDL principle Conference paper
NCTA 2011 - Proceedings of the International Conference on Neural Computation Theory and Applications
Authors:  Zhou X.;  Guo P.;  Philip Chen C.L.
Favorite | View/Download:9/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/11
Covariance matrix estimation  Gaussian classifier  Minimum description length  Multi-regularization parameters selection  
Regularization parameter estimation for feedforward neural networks Journal article
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2003,Volume: 33,Issue: 1,Page: 35-44
Authors:  Guo P.;  Lyu M.R.;  Chen C.L.P.
Favorite | View/Download:5/0 | TC[WOS]:56 TC[Scopus]:61 | Submit date:2019/02/11
Regularization parameter estimation  Small training data set  Tikhonov regularizer