Risk assessment in electrical power network planning based on sparse least squares support vector machines

2008 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2008.4620626 ◽

2008 ◽

Author(s):

Wei Sun ◽

Yue Ma

Keyword(s):

Risk Assessment ◽

Support Vector Machines ◽

Least Squares ◽

Electrical Power ◽

Network Planning ◽

Support Vector ◽

Power Network ◽

Vector Machines ◽

Power Network Planning

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Credit Risk Assessment with Least Squares Fuzzy Support Vector Machines

Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06) ◽

10.1109/icdmw.2006.54 ◽

2006 ◽

Author(s):

Lean Yu ◽

Kin Lai ◽

Shouyang Wang

Keyword(s):

Risk Assessment ◽

Support Vector Machines ◽

Credit Risk ◽

Least Squares ◽

Support Vector ◽

Credit Risk Assessment ◽

Vector Machines ◽

Fuzzy Support Vector Machines

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An Ensemble of Fuzzy Sets and Least Squares Support Vector Machines Approach to Consumer Credit Risk Assessment

2012 Fifth International Conference on Business Intelligence and Financial Engineering ◽

10.1109/bife.2012.12 ◽

2012 ◽

Author(s):

Jingli Liu ◽

Jianqi Mao ◽

Lei Chen

Keyword(s):

Risk Assessment ◽

Support Vector Machines ◽

Credit Risk ◽

Least Squares ◽

Consumer Credit ◽

Support Vector ◽

Credit Risk Assessment ◽

Vector Machines ◽

Consumer Credit Risk

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Risk assessment in electrical power network planning project based on principal component analysis and support vector machine

2008 7th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2008.4593786 ◽

2008 ◽

Author(s):

Wei Sun ◽

Yue Ma

Keyword(s):

Risk Assessment ◽

Principal Component Analysis ◽

Support Vector Machine ◽

Electrical Power ◽

Principal Component ◽

Component Analysis ◽

Support Vector ◽

Power Network ◽

Planning Project ◽

Power Network Planning

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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 ◽

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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 ◽

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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Quantitative credit risk assessment using support vector machines: Broad versus Narrow default definitions

Expert Systems with Applications ◽

10.1016/j.eswa.2013.01.044 ◽

2013 ◽

Vol 40 (11) ◽

pp. 4404-4413 ◽

Author(s):

Terry Harris

Keyword(s):

Risk Assessment ◽

Support Vector Machines ◽

Credit Risk ◽

Support Vector ◽

Credit Risk Assessment ◽

Vector Machines

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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 ◽

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 ◽

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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Sound Source DOA Estimation and Localization in Noisy Reverberant Environments Using Least-Squares Support Vector Machines

Journal of Signal Processing Systems ◽

10.1007/s11265-009-0423-7 ◽

2009 ◽

Vol 63 (3) ◽

pp. 287-300 ◽

Author(s):

Huawei Chen ◽

Wee Ser

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Sound Source ◽

Doa Estimation ◽

Support Vector ◽

Reverberant Environments ◽

Vector Machines

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