These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
84 related articles for article (PubMed ID: 22106150)
1. A note on octonionic support vector regression. Shilton A; Lai DT; Santhiranayagam BK; Palaniswami M IEEE Trans Syst Man Cybern B Cybern; 2012 Jun; 42(3):950-5. PubMed ID: 22106150 [TBL] [Abstract][Full Text] [Related]
2. Robust regularized kernel regression. Zhu J; Hoi SC; Lyu MR IEEE Trans Syst Man Cybern B Cybern; 2008 Dec; 38(6):1639-44. PubMed ID: 19022733 [TBL] [Abstract][Full Text] [Related]
3. Machine learning approach to color constancy. Agarwal V; Gribok AV; Abidi MA Neural Netw; 2007 Jul; 20(5):559-63. PubMed ID: 17624727 [TBL] [Abstract][Full Text] [Related]
4. On feature extraction via kernels. Yang C; Wang L; Feng J IEEE Trans Syst Man Cybern B Cybern; 2008 Apr; 38(2):553-7. PubMed ID: 18348937 [TBL] [Abstract][Full Text] [Related]
5. A tutorial on support vector machine-based methods for classification problems in chemometrics. Luts J; Ojeda F; Van de Plas R; De Moor B; Van Huffel S; Suykens JA Anal Chim Acta; 2010 Apr; 665(2):129-45. PubMed ID: 20417323 [TBL] [Abstract][Full Text] [Related]
6. Feature selection using probabilistic prediction of support vector regression. Yang JB; Ong CJ IEEE Trans Neural Netw; 2011 Jun; 22(6):954-62. PubMed ID: 21550883 [TBL] [Abstract][Full Text] [Related]
7. A practical approach to model selection for support vector machines with a Gaussian kernel. Varewyck M; Martens JP IEEE Trans Syst Man Cybern B Cybern; 2011 Apr; 41(2):330-40. PubMed ID: 20699214 [TBL] [Abstract][Full Text] [Related]
8. Supervised Gaussian process latent variable model for dimensionality reduction. Gao X; Wang X; Tao D; Li X IEEE Trans Syst Man Cybern B Cybern; 2011 Apr; 41(2):425-34. PubMed ID: 20699213 [TBL] [Abstract][Full Text] [Related]
9. Optimal decision rule with class-selective rejection and performance constraints. Grall-Maƫs E; Beauseroy P IEEE Trans Pattern Anal Mach Intell; 2009 Nov; 31(11):2073-82. PubMed ID: 19762932 [TBL] [Abstract][Full Text] [Related]
10. Efficient computation and model selection for the support vector regression. Gunter L; Zhu J Neural Comput; 2007 Jun; 19(6):1633-55. PubMed ID: 17444762 [TBL] [Abstract][Full Text] [Related]
11. Stochastic subset selection for learning with kernel machines. Rhinelander J; Liu XP IEEE Trans Syst Man Cybern B Cybern; 2012 Jun; 42(3):616-26. PubMed ID: 22049369 [TBL] [Abstract][Full Text] [Related]
12. Partially observable Markov decision processes and performance sensitivity analysis. Li Y; Yin B; Xi H IEEE Trans Syst Man Cybern B Cybern; 2008 Dec; 38(6):1645-51. PubMed ID: 19022734 [TBL] [Abstract][Full Text] [Related]
13. TSVR: an efficient Twin Support Vector Machine for regression. Peng X Neural Netw; 2010 Apr; 23(3):365-72. PubMed ID: 19616409 [TBL] [Abstract][Full Text] [Related]
14. A division algebraic framework for multidimensional support vector regression. Shilton A; Lai DT; Palaniswami M IEEE Trans Syst Man Cybern B Cybern; 2010 Apr; 40(2):517-28. PubMed ID: 19737676 [TBL] [Abstract][Full Text] [Related]
15. A support vector machine using the lazy learning approach for multi-class classification. Comak E; Arslan A J Med Eng Technol; 2006; 30(2):73-7. PubMed ID: 16531345 [TBL] [Abstract][Full Text] [Related]
16. An analysis of random projection for changeable and privacy-preserving biometric verification. Wang Y; Plataniotis KN IEEE Trans Syst Man Cybern B Cybern; 2010 Oct; 40(5):1280-93. PubMed ID: 20083458 [TBL] [Abstract][Full Text] [Related]
17. Gabor-based kernel PCA with fractional power polynomial models for face recognition. Liu C IEEE Trans Pattern Anal Mach Intell; 2004 May; 26(5):572-81. PubMed ID: 15460279 [TBL] [Abstract][Full Text] [Related]
18. A new feature selection scheme using a data distribution factor for unsupervised nominal data. Chow TW; Wang P; Ma EW IEEE Trans Syst Man Cybern B Cybern; 2008 Apr; 38(2):499-509. PubMed ID: 18348931 [TBL] [Abstract][Full Text] [Related]
19. Kernel discriminant analysis for positive definite and indefinite kernels. Pekalska E; Haasdonk B IEEE Trans Pattern Anal Mach Intell; 2009 Jun; 31(6):1017-32. PubMed ID: 19372607 [TBL] [Abstract][Full Text] [Related]
20. Principal surfaces from unsupervised kernel regression. Meinicke P; Klanke S; Memisevic R; Ritter H IEEE Trans Pattern Anal Mach Intell; 2005 Sep; 27(9):1379-91. PubMed ID: 16173183 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]