SVM and Kernel Methods Matlab Toolbox. Key Features: SVM Classification using linear and quadratic penalization of misclassified examples ( penalization coefficients can be different for each examples); SVM Classification with Nearest Point Algorithm; Multiclass SVM : one against all, one against one and M-SVM; Large Scale SVM Classification/Regression; SVM epsilon and nu regression; One-Class SVM; Regularisation Networks; SVM bounds (Span estimate, radius/margin); Wavelet Kernel; SVM Based Feature Selection; Kernel PCA; Kernel Discriminant Analysis; SVM Based Feature selection; SVM AUC Optimization (Ranking SVM, ROC SVM) and RankBoost; Kernel Basis Pursuit and Least Angle Regression (LARS) Algorithm; Wavelet Kernel Regression with backfitting; Interface with a version of libsvm.

References in zbMATH (referenced in 23 articles )

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  1. Hwang, Kyoungmi; Kim, Dohyun; Lee, Kyungsik; Lee, Chungmok; Park, Sungsoo: Embedded variable selection method using signomial classification (2017)
  2. Li, Jian-Hui; Wang, Fang; Li, Jin-Wei; Zou, Rui-Biao; Liao, Gui-Ping: Multifractal methods for rapeseed nitrogen nutrition qualitative diagnosis modeling (2016)
  3. Bouveyron, C.; Fauvel, M.; Girard, S.: Kernel discriminant analysis and clustering with parsimonious Gaussian process models (2015)
  4. Wang, Shijun; Li, Diana; Petrick, Nicholas; Sahiner, Berkman; Linguraru, Marius George; Summers, Ronald M.: Optimizing area under the ROC curve using semi-supervised learning (2015)
  5. De Vito, Ernesto; Rosasco, Lorenzo; Toigo, Alessandro: Learning sets with separating kernels (2014)
  6. Ma, Andy J.; Yuen, Pong C.: Reduced analytic dependency modeling: robust fusion for visual recognition (2014)
  7. Micheletti, Natan; Foresti, Loris; Robert, Sylvain; Leuenberger, Michael; Pedrazzini, Andrea; Jaboyedoff, Michel; Kanevski, Mikhail: Machine learning feature selection methods for landslide susceptibility mapping (2014)
  8. Toh, Kar-Ann; Tan, Geok-Choo: Exploiting the relationships among several binary classifiers via data transformation (2014)
  9. Wang, Fang; Zou, Rui-Biao; Liao, Gui-Ping; Li, Jin-Wei; Liu, Zi-Qiang: Local multifractal detrended fluctuation analysis for tea breeds identification (2014)
  10. Song, Hyeongjin; Choi, K.K.; Lee, Ikjin; Zhao, Liang; Lamb, David: Adaptive virtual support vector machine for reliability analysis of high-dimensional problems (2013)
  11. Zhao, Jinwei; Yan, Guirong; Feng, Boqin; Mao, Wentao; Bai, Junqing: An adaptive support vector regression based on a new sequence of unified orthogonal polynomials (2013)
  12. Kim, Youngsung; Toh, Kar-Ann; Teoh, Andrew Beng Jin; Eng, How-Lung; Yau, Wei-Yun: An online AUC formulation for binary classification (2012)
  13. Kwak, Nojun: Kernel discriminant analysis for regression problems (2012)
  14. Hu, Yonggang; Wang, Yong; Wu, Yi; Li, Qiang; Hou, Chenping: Generalized mahalanobis depth in the reproducing kernel Hilbert space (2011)
  15. Jin, Xin; Gupta, Shalabh; Mukherjee, Kushal; Ray, Asok: Wavelet-based feature extraction using probabilistic finite state automata for pattern classification (2011)
  16. Ozer, Sedat; Chen, Chi H.; Cirpan, Hakan A.: A set of new Chebyshev kernel functions for support vector machine pattern classification (2011)
  17. Cruz-Cano, Raul; Chew, David S.H.; Choi, Kwok-Pui; Leung, Ming-Ying: Least-squares support vector machine approach to viral replication origin prediction (2010)
  18. de Leone, R.; Lazzari, C.: Error bounds for support vector machines with application to the identification of active constraints (2010)
  19. Fu, Si-Yao; Yang, Guo-Sheng; Hou, Zeng-Guang: Image category learning and classification via optimal linear combination of multiple partially matching kernels (2010) ioport
  20. Fennander, Henri; Kyrki, Ville; Fellman, Anna; Salminen, Antti; Kälviäinen, Heikki: Visual measurement and tracking in laser hybrid welding (2009) ioport

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