Training Subset Selection for Support Vector Regression

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems ◽

10.15439/2019f363 ◽

2019 ◽

Author(s):

Cenru Liu ◽

Jiahao Cen

Keyword(s):

Support Vector Regression ◽

Subset Selection ◽

Support Vector ◽

Selection For ◽

Training Subset

Download Full-text

Optimal training subset in a support vector regression electric load forecasting model

Applied Soft Computing ◽

10.1016/j.asoc.2011.12.017 ◽

2012 ◽

Vol 12 (5) ◽

pp. 1523-1531 ◽

Cited By ~ 22

Author(s):

JinXing Che ◽

JianZhou Wang ◽

YuJuan Tang

Keyword(s):

Support Vector Regression ◽

Load Forecasting ◽

Support Vector ◽

Forecasting Model ◽

Electric Load ◽

Training Subset ◽

Electric Load Forecasting

Download Full-text

Feature selection for support vector regression via Kernel penalization

The 2010 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2010.5596488 ◽

2010 ◽

Cited By ~ 7

Author(s):

Sebastian Maldonado ◽

Richard Weber

Keyword(s):

Feature Selection ◽

Support Vector Regression ◽

Support Vector ◽

Selection For

Download Full-text

Feature subset selection for support vector machines by incremental regularized risk minimization

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541) ◽

10.1109/ijcnn.2004.1380930 ◽

2005 ◽

Cited By ~ 5

Author(s):

H. Frohlich ◽

A. Zell

Keyword(s):

Support Vector Machines ◽

Subset Selection ◽

Feature Subset Selection ◽

Support Vector ◽

Feature Subset ◽

Risk Minimization ◽

Vector Machines ◽

Selection For ◽

Regularized Risk Minimization

Download Full-text

Efficient parameter selection for Support Vector Regression using orthogonal array

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2014.6974261 ◽

2014 ◽

Cited By ~ 1

Author(s):

Natsuki Sano ◽

Kaori Higashinaka ◽

Tomomichi Suzuki

Keyword(s):

Support Vector Regression ◽

Orthogonal Array ◽

Parameter Selection ◽

Support Vector ◽

Selection For

Download Full-text

Feature selection for support vector regression using probabilistic prediction

Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '10 ◽

10.1145/1835804.1835849 ◽

2010 ◽

Cited By ~ 4

Author(s):

Jian-Bo Yang ◽

Chong-Jin Ong

Keyword(s):

Feature Selection ◽

Support Vector Regression ◽

Support Vector ◽

Probabilistic Prediction ◽

Selection For

Download Full-text

Fisher score and Matthews correlation coefficient-based feature subset selection for heart disease diagnosis using support vector machines

Knowledge and Information Systems ◽

10.1007/s10115-018-1185-y ◽

2018 ◽

Vol 58 (1) ◽

pp. 139-167 ◽

Cited By ~ 17

Author(s):

Syed Muhammad Saqlain ◽

Muhammad Sher ◽

Faiz Ali Shah ◽

Imran Khan ◽

Muhammad Usman Ashraf ◽

...

Keyword(s):

Matthews Correlation Coefficient ◽

Subset Selection ◽

Disease Diagnosis ◽

Feature Subset Selection ◽

Support Vector ◽

Feature Subset ◽

Fisher Score ◽

Vector Machines ◽

Selection For ◽

Heart Disease Diagnosis

Download Full-text

Generalized training subset selection for statistical estimation of epicardial activation maps from intravenous catheter measurements

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2006.03.002 ◽

2007 ◽

Vol 37 (3) ◽

pp. 328-336

Author(s):

Bülent Yılmaz ◽

Robert S. MacLeod

Keyword(s):

Statistical Estimation ◽

Subset Selection ◽

Intravenous Catheter ◽

Selection For ◽

Training Subset

Download Full-text

Application of incremental support vector regression based on optimal training subset and improved particle swarm optimization algorithm in real-time sensor fault diagnosis

Applied Intelligence ◽

10.1007/s10489-020-01916-9 ◽

2020 ◽

Author(s):

Dongdong Zhang ◽

Wenguo Xiang ◽

Qiwei Cao ◽

Shiyi Chen

Keyword(s):

Particle Swarm Optimization ◽

Fault Diagnosis ◽

Support Vector Regression ◽

Real Time ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Support Vector ◽

Sensor Fault ◽

Swarm Optimization ◽

Training Subset

Download Full-text

Bootstrap Based Pattern Selection for Support Vector Regression

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-540-68125-0_56 ◽

2008 ◽

pp. 608-615 ◽

Cited By ~ 1

Author(s):

Dongil Kim ◽

Sungzoon Cho

Keyword(s):

Support Vector Regression ◽

Support Vector ◽

Pattern Selection ◽

Selection For

Download Full-text

Efficient hyper parameter selection for support vector regression using orthogonal array

International Journal of Computational Intelligence Studies ◽

10.1504/ijcistudies.2017.10007038 ◽

2017 ◽

Vol 6 (1) ◽

pp. 40

Author(s):

Natsuki Sano ◽

Tomomichi Suzuki

Keyword(s):

Support Vector Regression ◽

Orthogonal Array ◽

Parameter Selection ◽

Support Vector ◽

Selection For

Download Full-text