IMPROVED LEAST SQUARES TWIN SUPPORT MATRIX MACHINES
Author(s) -
Xizhan Gao,
Liya Fan,
Haitao Xu,
R Jayadeva,
S Khemchandani,
Chandra,
Y Shao,
C Zhang,
X Wang,
N Deng,
J Suykens,
L Lukas,
P Van Dooren,
J Suykens,
J Vandewalle,
M Kumar,
M,
S Balasundaram,
Kapil,
Z Qi,
Y Tian,
Y Shi,
Pen Xinjun,
S Ghorai,
A Mukherjee,
P Dutta,
M Kumar,
M,
O Mangasarian,
E Wild,
E Osuna,
R Freund,
F Girosi,
X Peng,
Z Qi,
Y Tian,
S Yong,
Z Qi,
Y Tian,
S Yong,
Y Xu,
J Gao,
L Fan,
L Li,
L Xu,
J Gao,
L Xu,
A Shi,
F Huang,
D Tao,
X Li,
X Wu,
C Hou,
R Khemchandani,
A Karpatne,
S Chandra,
Xinsheng Zhang,
Xinbo Gao,
Ying Wang,
G Fung,
O Mangasarian,
D Tao,
X Li,
W Hu,
S Maybank,
X Wu,
D Tao,
X Li,
W Hu,
S Maybank,
X Wu,
D Tao,
M Song,
X Li,
J Shen,
J Sun,
X Wu,
C Faloutsos,
S Maybank,
D Tao,
J Sun,
J Shen,
X Wu,
X Li,
S Maybank,
C Faloutsos,
J Sun,
D Tao,
S Papadimitriou,
P Yu,
C Faloutsos
Publication year - 2015
Publication title -
international journal of applied mathematics and machine learning
Language(s) - Uncategorized
Resource type - Journals
ISSN - 2394-2258
DOI - 10.18642/ijamml_7100121564
Subject(s) - least squares function approximation , matrix (chemical analysis) , mathematics , computer science , statistics , chemistry , chromatography , estimator
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