215 related articles for article (PubMed ID: 27179616)
1. Binary classification SVM-based algorithms with interval-valued training data using triangular and Epanechnikov kernels.
Utkin LV; Chekh AI; Zhuk YA
Neural Netw; 2016 Aug; 80():53-66. PubMed ID: 27179616
[TBL] [Abstract][Full Text] [Related]
2. A new robust model of one-class classification by interval-valued training data using the triangular kernel.
Utkin LV; Chekh AI
Neural Netw; 2015 Sep; 69():99-110. PubMed ID: 26093040
[TBL] [Abstract][Full Text] [Related]
3. A Multiple Kernel Learning Model Based on
Qi J; Liang X; Xu R
Comput Intell Neurosci; 2018; 2018():1018789. PubMed ID: 29606958
[TBL] [Abstract][Full Text] [Related]
4. Geometrical properties of nu support vector machines with different norms.
Ikeda K; Murata N
Neural Comput; 2005 Nov; 17(11):2508-29. PubMed ID: 16156937
[TBL] [Abstract][Full Text] [Related]
5. L2-norm multiple kernel learning and its application to biomedical data fusion.
Yu S; Falck T; Daemen A; Tranchevent LC; Suykens JA; De Moor B; Moreau Y
BMC Bioinformatics; 2010 Jun; 11():309. PubMed ID: 20529363
[TBL] [Abstract][Full Text] [Related]
6. Vicinal support vector classifier using supervised kernel-based clustering.
Yang X; Cao A; Song Q; Schaefer G; Su Y
Artif Intell Med; 2014 Mar; 60(3):189-96. PubMed ID: 24637294
[TBL] [Abstract][Full Text] [Related]
7. A linear-RBF multikernel SVM to classify big text corpora.
Romero R; Iglesias EL; Borrajo L
Biomed Res Int; 2015; 2015():878291. PubMed ID: 25879039
[TBL] [Abstract][Full Text] [Related]
8. Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence.
Jiang H; Ching WK; Qiu Y; Cheng XQ
BMC Syst Biol; 2017 Dec; 11(Suppl 6):115. PubMed ID: 29297357
[TBL] [Abstract][Full Text] [Related]
9. The construction of support vector machine classifier using the firefly algorithm.
Chao CF; Horng MH
Comput Intell Neurosci; 2015; 2015():212719. PubMed ID: 25802511
[TBL] [Abstract][Full Text] [Related]
10. Arbitrary norm support vector machines.
Huang K; Zheng D; King I; Lyu MR
Neural Comput; 2009 Feb; 21(2):560-82. PubMed ID: 19431269
[TBL] [Abstract][Full Text] [Related]
11. Efficient classification for additive kernel SVMs.
Maji S; Berg AC; Malik J
IEEE Trans Pattern Anal Mach Intell; 2013 Jan; 35(1):66-77. PubMed ID: 22392703
[TBL] [Abstract][Full Text] [Related]
12. Posterior probability support vector machines for unbalanced data.
Tao Q; Wu GW; Wang FY; Wang J
IEEE Trans Neural Netw; 2005 Nov; 16(6):1561-73. PubMed ID: 16342496
[TBL] [Abstract][Full Text] [Related]
13. Pruning support vector machines without altering performances.
Liang X; Chen RC; Guo X
IEEE Trans Neural Netw; 2008 Oct; 19(10):1792-803. PubMed ID: 18842482
[TBL] [Abstract][Full Text] [Related]
14. Data classification with radial basis function networks based on a novel kernel density estimation algorithm.
Oyang YJ; Hwang SC; Ou YY; Chen CY; Chen ZW
IEEE Trans Neural Netw; 2005 Jan; 16(1):225-36. PubMed ID: 15732402
[TBL] [Abstract][Full Text] [Related]
15. On the sparseness of 1-norm support vector machines.
Zhang L; Zhou W
Neural Netw; 2010 Apr; 23(3):373-85. PubMed ID: 20018477
[TBL] [Abstract][Full Text] [Related]
16. Feature space interpretation of SVMs with indefinite kernels.
Haasdonk B
IEEE Trans Pattern Anal Mach Intell; 2005 Apr; 27(4):482-492. PubMed ID: 15794155
[TBL] [Abstract][Full Text] [Related]
17. Classification of Medical Datasets Using SVMs with Hybrid Evolutionary Algorithms Based on Endocrine-Based Particle Swarm Optimization and Artificial Bee Colony Algorithms.
Lin KC; Hsieh YH
J Med Syst; 2015 Oct; 39(10):306. PubMed ID: 26289628
[TBL] [Abstract][Full Text] [Related]
18. A multi-label learning based kernel automatic recommendation method for support vector machine.
Zhang X; Song Q
PLoS One; 2015; 10(3):e0120455. PubMed ID: 25893896
[TBL] [Abstract][Full Text] [Related]
19. Correlation kernels for support vector machines classification with applications in cancer data.
Jiang H; Ching WK
Comput Math Methods Med; 2012; 2012():205025. PubMed ID: 22919428
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]