Feature Selection and Parameter Optimization of Support Vector Machines Based on a Local Search Based Firefly Algorithm for Classification of Formulas in Traditional Chinese Medicine

Local Search ◽

Parameter Optimization ◽

Firefly Algorithm ◽

Support Vector ◽

Classification of ECG beats by using a fast least square support vector machines with a dynamic programming feature selection algorithm

Neural Computing and Applications ◽

10.1007/s00521-005-0466-z ◽

2005 ◽

Vol 14 (4) ◽

pp. 299-309 ◽

Cited By ~ 55

Author(s):

Nurettin Acır

Keyword(s):

Dynamic Programming ◽

Feature Selection ◽

Support Vector Machines ◽

Least Square ◽

Support Vector ◽

Selection Algorithm ◽

Feature Selection Algorithm ◽

Auscultation Signals Analysis in Traditional Chinese Medicine Using Wavelet Packet Energy Entropy and Support Vector Machines

2010 International Conference on Electrical and Control Engineering ◽

10.1109/icece.2010.131 ◽

2010 ◽

Author(s):

Jianjun Yan ◽

Xiaojing Shen ◽

Chunming Xia ◽

Yong Shen ◽

Zhong Yan Gu ◽

...

Keyword(s):

Support Vector Machines ◽

Chinese Medicine ◽

Wavelet Packet ◽

Support Vector ◽

Energy Entropy ◽

Support vector machines applied to traditional Chinese medicine

Support Vector Machines and Their Application in Chemistry and Biotechnology ◽

10.1201/b10911-10 ◽

2016 ◽

pp. 159-182

Keyword(s):

Support Vector Machines ◽

Chinese Medicine ◽

Support Vector ◽

Computer-assisted lip diagnosis on traditional Chinese medicine using multi-class support vector machines

BMC Complementary and Alternative Medicine ◽

10.1186/1472-6882-12-127 ◽

2012 ◽

Vol 12 (1) ◽

Cited By ~ 24

Author(s):

FuFeng Li ◽

Changbo Zhao ◽

Zheng Xia ◽

Yiqin Wang ◽

Xiaobo Zhou ◽

...

Keyword(s):

Support Vector Machines ◽

Chinese Medicine ◽

Support Vector ◽

Computer Assisted ◽

Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2010.2041784 ◽

2010 ◽

Vol 48 (7) ◽

pp. 2880-2889 ◽

Cited By ~ 173

Author(s):

Björn Waske ◽

Sebastian van der Linden ◽

Jón Atli Benediktsson ◽

Andreas Rabe ◽

Patrick Hostert

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Hyperspectral Data ◽

Support Vector ◽

Feature Selection and Classification of Hyperspectral Images With Support Vector Machines

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2007.905116 ◽

2007 ◽

Vol 4 (4) ◽

pp. 674-677 ◽

Cited By ~ 139

Author(s):

Rick Archibald ◽

George Fann

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Hyperspectral Images ◽

Support Vector ◽

Artificial bee colony-based support vector machines with feature selection and parameter optimization for rule extraction

Knowledge and Information Systems ◽

10.1007/s10115-017-1083-8 ◽

2017 ◽

Vol 55 (1) ◽

pp. 253-274 ◽

Cited By ~ 9

Author(s):

R. J. Kuo ◽

S. B. Li Huang ◽

F. E. Zulvia ◽

T. W. Liao

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Parameter Optimization ◽

Artificial Bee Colony ◽

Rule Extraction ◽

Support Vector ◽

Bee Colony ◽

Feature Selection and Parameters Optimization of Support Vector Machines Based on Hybrid Glowworm Swarm Optimization for Classification of Diabetic Retinopathy

Journal of Medical Systems ◽

10.1007/s10916-018-1055-x ◽

2018 ◽

Vol 42 (10) ◽

Cited By ~ 6

Author(s):

R. Karthikeyan ◽

P. Alli

Keyword(s):

Feature Selection ◽

Diabetic Retinopathy ◽

Support Vector Machines ◽

Parameters Optimization ◽

Support Vector ◽

Swarm Optimization ◽

Glowworm Swarm Optimization ◽

Use of support vector machines with a parallel local search algorithm for data classification and feature selection

Expert Systems with Applications ◽

10.1016/j.eswa.2019.113133 ◽

2020 ◽

Vol 145 ◽

pp. 113133 ◽

Cited By ~ 2

Author(s):

Tunchan Cura

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Local Search ◽

Search Algorithm ◽

Data Classification ◽

Support Vector ◽

Local Search Algorithm ◽

Optimal feature selection for classification of the power quality events using wavelet transform and least squares support vector machines

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2012.12.018 ◽

2013 ◽

Vol 49 ◽

pp. 95-103 ◽

Cited By ~ 71

Author(s):

Hüseyin Erişti ◽

Özal Yıldırım ◽

Belkıs Erişti ◽

Yakup Demir

Keyword(s):

Feature Selection ◽

Wavelet Transform ◽

Support Vector Machines ◽

Power Quality ◽

Support Vector ◽

Vector Machines ◽

Optimal Feature Selection ◽

Selection For ◽

Optimal Feature