Robust and Sparse LP-Norm Support Vector Regression

[1]  J. Stock,et al.  Combination forecasts of output growth in a seven-country data set , 2004 .

[2]  Ji Huang,et al.  Electromechanical equipment state forecasting based on genetic algorithm - support vector regression , 2011, Expert Syst. Appl..

[3]  Jun Yu,et al.  lp-norm support vector machine with CCCP , 2010, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery.

[4]  Ya-Fen Ye,et al.  Comparing Inflation Forecasts Using an $\varepsilon$-wavelet Twin Support Vector Regression , 2013 .

[5]  Yuan-Hai Shao,et al.  Wavelet Lp-Norm Support Vector Regression with Feature Selection , 2015, J. Adv. Comput. Intell. Intell. Informatics.

[6]  Xue-feng Yan,et al.  Adaptive weighted least square support vector machine regression integrated with outlier detection and its application in QSAR , 2009 .

[7]  Ling Zhuang,et al.  Prediction of silicon content in hot metal using support vector regression based on chaos particle swarm optimization , 2009, Expert Syst. Appl..

[8]  Mingcang Zhu,et al.  Housing price forecasting based on genetic algorithm and support vector machine , 2011, Expert Syst. Appl..

[9]  Li Wang,et al.  Financial market forecasting using a two-step kernel learning method for the support vector regression , 2010, Ann. Oper. Res..

[10]  Yuan-Hai Shao,et al.  An ε-twin support vector machine for regression , 2012, Neural Computing and Applications.

[11]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[12]  Lan Bai,et al.  Information Technology and Quantitative Management , ITQM 2013 Exploring determinants of inflation in China based on L 1-- twin support vector regression , 2013 .

[13]  Dong Xu,et al.  A local information-based feature-selection algorithm for data regression , 2013, Pattern Recognit..

[14]  Dewei Li,et al.  The Support Vector Regression with Adaptive Norms , 2013, ICCS.

[15]  Zhi-Ping Fan,et al.  Dynamic customer lifetime value prediction using longitudinal data: An improved multiple kernel SVR approach , 2013, Knowl. Based Syst..

[16]  Yuan-Hai Shao,et al.  Financial Conditions Index Construction Through Weighted Lp-Norm Support Vector Regression , 2015, J. Adv. Comput. Intell. Intell. Informatics.

[17]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[18]  Ying Jie Tian,et al.  Lp-norm proximal support vector machine and its applications , 2010, ICCS.

[19]  Zhiqiang Zhang,et al.  Adaptive feature selection via a new version of support vector machine , 2012, Neural Computing and Applications.

[20]  Farookh Khadeer Hussain,et al.  Support vector regression with chaos-based firefly algorithm for stock market price forecasting , 2013, Appl. Soft Comput..

[21]  Amaury Lendasse,et al.  Bankruptcy prediction using Extreme Learning Machine and financial expertise , 2014, Neurocomputing.

[22]  Paul S. Bradley,et al.  Feature Selection via Mathematical Programming , 1997, INFORMS J. Comput..