Ordinal Least Squares Support Vector Machines - A Discriminant Analysis Approach

2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2006.275556 ◽

2006 ◽

Cited By ~ 2

Author(s):

Kristiaan Pelckmans ◽

Peter Karsmakers ◽

Johan A. K. Suykens

Keyword(s):

Support Vector Machines ◽

Discriminant Analysis ◽

Least Squares ◽

Analysis Approach ◽

Support Vector ◽

Vector Machines

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Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis

Artificial Neural Networks in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-540-69939-2_6 ◽

2008 ◽

pp. 54-65 ◽

Cited By ~ 3

Author(s):

Shigeo Abe

Keyword(s):

Support Vector Machines ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Least Squares ◽

Support Vector ◽

Forward Selection ◽

Linear Discriminant ◽

Vector Machines

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Comparative investigation of partial least squares discriminant analysis and support vector machines for geological cuttings identification using laser-induced breakdown spectroscopy

Spectrochimica Acta Part B Atomic Spectroscopy ◽

10.1016/j.sab.2014.10.014 ◽

2014 ◽

Vol 102 ◽

pp. 52-57 ◽

Cited By ~ 17

Author(s):

Ye Tian ◽

Zhennan Wang ◽

Xiaoshuang Han ◽

Huaming Hou ◽

Ronger Zheng

Keyword(s):

Support Vector Machines ◽

Discriminant Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Comparative Investigation ◽

Laser Induced Breakdown Spectroscopy ◽

Support Vector ◽

Breakdown Spectroscopy ◽

Vector Machines ◽

Laser Induced Breakdown

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Terahertz time-domain spectroscopy combined with support vector machines and partial least squares-discriminant analysis applied for the diagnosis of cervical carcinoma

Analytical Methods ◽

10.1039/c4ay02665a ◽

2015 ◽

Vol 7 (6) ◽

pp. 2333-2338 ◽

Cited By ~ 20

Author(s):

Na Qi ◽

Zhuoyong Zhang ◽

Yuhong Xiang ◽

Yuping Yang ◽

Xueai Liang ◽

...

Keyword(s):

Support Vector Machines ◽

Discriminant Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Time Domain ◽

Terahertz Spectroscopy ◽

Support Vector ◽

Terahertz Time Domain Spectroscopy ◽

Vector Machines ◽

Effective Diagnosis

Combined with terahertz spectroscopy, partial least squares-discriminant analysis and support vector machines could be novel and effective diagnosis methods for cervical cancer.

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A Novel Hyperspectral Unmixing Method based on Least Squares Twin Support Vector Machines

European Journal of Remote Sensing ◽

10.1080/22797254.2021.1877572 ◽

2021 ◽

Vol 54 (1) ◽

pp. 72-85

Author(s):

Liguo Wang ◽

San Wang ◽

Xiuping Jia ◽

Tianyi Bi

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Twin Support Vector Machines ◽

Hyperspectral Unmixing ◽

Vector Machines

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On-line of modeling ship manoeuvring motion by using least squares support vector machines

2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management ◽

10.1109/icieem.2011.6035492 ◽

2011 ◽

Author(s):

Yan Wang ◽

Hao Meng ◽

Zhi-lin Liu ◽

Rui-ting Yu

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Ship Manoeuvring ◽

Vector Machines ◽

On Line

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Offline modeling of nonlinear systems based on least squares support vector machines

2009 International Conference on Computer Engineering & Systems ◽

10.1109/icces.2009.5383287 ◽

2009 ◽

Cited By ~ 1

Author(s):

M. El Bardini ◽

H. M. Khalil ◽

N. El Rabie ◽

M. Sharaf

Keyword(s):

Support Vector Machines ◽

Nonlinear Systems ◽

Least Squares ◽

Support Vector ◽

Vector Machines

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Fault diagnosis based on Fisher discriminant analysis and support vector machines

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2003.10.002 ◽

2004 ◽

Vol 28 (8) ◽

pp. 1389-1401 ◽

Cited By ~ 351

Author(s):

Leo H. Chiang ◽

Mark E. Kotanchek ◽

Arthur K. Kordon

Keyword(s):

Fault Diagnosis ◽

Support Vector Machines ◽

Discriminant Analysis ◽

Support Vector ◽

Fisher Discriminant Analysis ◽

Fisher Discriminant ◽

Vector Machines

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Comparison of Linear Discriminant Analysis, Support Vector Machines and Naive Bayes Methods in the Classification of Neonatal Hyperspectral Signatures

2021 29th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu53274.2021.9477861 ◽

2021 ◽

Author(s):

Mucahit Cihan ◽

Murat Ceylan

Keyword(s):

Support Vector Machines ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Naive Bayes ◽

Support Vector ◽

Linear Discriminant ◽

Bayes Methods ◽

Vector Machines ◽

Hyperspectral Signatures

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Multiclass Least Squares Wavelet Support Vector Machines

2008 IEEE International Conference on Networking, Sensing and Control ◽

10.1109/icnsc.2008.4525268 ◽

2008 ◽

Cited By ~ 6

Author(s):

Yongzhong Xing ◽

Xiaobei Wu ◽

Zhiliang Xu

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Vector Machines

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New predictive control algorithms based on Least Squares Support Vector Machines

Journal of Zhejiang University SCIENCE A ◽

10.1631/jzus.2005.a0440 ◽

2005 ◽

Vol 6 (5) ◽

pp. 440-446 ◽

Cited By ~ 11

Author(s):

Liu Bin ◽

Su Hong-ye ◽

Chu Jian

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Predictive Control ◽

Control Algorithms ◽

Support Vector ◽

Vector Machines

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