194 related articles for article (PubMed ID: 17278459)
1. A kernel-based two-class classifier for imbalanced data sets.
Hong X; Chen S; Harris CJ
IEEE Trans Neural Netw; 2007 Jan; 18(1):28-41. PubMed ID: 17278459
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Sparse model identification using a forward orthogonal regression algorithm aided by mutual information.
Billings SA; Wei HL
IEEE Trans Neural Netw; 2007 Jan; 18(1):306-10. PubMed ID: 17278482
[TBL] [Abstract][Full Text] [Related]
4. Kernel classifier construction using orthogonal forward selection and boosting with Fisher ratio class separability measure.
Chen S; Wang XX; Hong X; Harris CJ
IEEE Trans Neural Netw; 2006 Nov; 17(6):1652-6. PubMed ID: 17131680
[TBL] [Abstract][Full Text] [Related]
5. Assessing classifiers from two independent data sets using ROC analysis: a nonparametric approach.
Yousef WA; Wagner RF; Loew MH
IEEE Trans Pattern Anal Mach Intell; 2006 Nov; 28(11):1809-17. PubMed ID: 17063685
[TBL] [Abstract][Full Text] [Related]
6. Monitoring the formation of kernel-based topographic maps in a hybrid SOM-kMER model.
Teh CS; Lim CP
IEEE Trans Neural Netw; 2006 Sep; 17(5):1336-41. PubMed ID: 17001993
[TBL] [Abstract][Full Text] [Related]
7. Iterative least squares functional networks classifier.
El-Sebakhy EA; Hadi AS; Faisal KA
IEEE Trans Neural Netw; 2007 May; 18(3):844-50. PubMed ID: 17526349
[TBL] [Abstract][Full Text] [Related]
8. Kernel entropy component analysis.
Jenssen R
IEEE Trans Pattern Anal Mach Intell; 2010 May; 32(5):847-60. PubMed ID: 20299709
[TBL] [Abstract][Full Text] [Related]
9. Fisher sequential classifiers.
Kołakowska A; Malina W
IEEE Trans Syst Man Cybern B Cybern; 2005 Oct; 35(5):988-98. PubMed ID: 16240773
[TBL] [Abstract][Full Text] [Related]
10. Dimensionality reduction of clustered data sets.
Sanguinetti G
IEEE Trans Pattern Anal Mach Intell; 2008 Mar; 30(3):535-40. PubMed ID: 18195446
[TBL] [Abstract][Full Text] [Related]
11. Low rank updated LS-SVM classifiers for fast variable selection.
Ojeda F; Suykens JA; De Moor B
Neural Netw; 2008; 21(2-3):437-49. PubMed ID: 18343309
[TBL] [Abstract][Full Text] [Related]
12. A kernel-induced space selection approach to model selection in KLDA.
Wang L; Chan KL; Xue P; Zhou L
IEEE Trans Neural Netw; 2008 Dec; 19(12):2116-31. PubMed ID: 19054735
[TBL] [Abstract][Full Text] [Related]
13. Simultaneous pattern classification and multidomain association using self-structuring kernel memory networks.
Hoya T; Washizawa Y
IEEE Trans Neural Netw; 2007 May; 18(3):732-44. PubMed ID: 17526340
[TBL] [Abstract][Full Text] [Related]
14. Enhancing instance-based classification with local density: a new algorithm for classifying unbalanced biomedical data.
Plant C; Böhm C; Tilg B; Baumgartner C
Bioinformatics; 2006 Apr; 22(8):981-8. PubMed ID: 16443633
[TBL] [Abstract][Full Text] [Related]
15. Semisupervised least squares support vector machine.
Adankon MM; Cheriet M; Biem A
IEEE Trans Neural Netw; 2009 Dec; 20(12):1858-70. PubMed ID: 19963446
[TBL] [Abstract][Full Text] [Related]
16. LESS: a model-based classifier for sparse subspaces.
Veenman CJ; Tax DM
IEEE Trans Pattern Anal Mach Intell; 2005 Sep; 27(9):1496-500. PubMed ID: 16173192
[TBL] [Abstract][Full Text] [Related]
17. Learning weighted metrics to minimize nearest-neighbor classification error.
Paredes R; Vidal E
IEEE Trans Pattern Anal Mach Intell; 2006 Jul; 28(7):1100-10. PubMed ID: 16792099
[TBL] [Abstract][Full Text] [Related]
18. Discriminative components of data.
Peltonen J; Kaski S
IEEE Trans Neural Netw; 2005 Jan; 16(1):68-83. PubMed ID: 15732390
[TBL] [Abstract][Full Text] [Related]
19. Incremental training of support vector machines.
Shilton A; Palaniswami M; Ralph D; Tsoi AC
IEEE Trans Neural Netw; 2005 Jan; 16(1):114-31. PubMed ID: 15732393
[TBL] [Abstract][Full Text] [Related]
20. Weighted data gravitation classification for standard and imbalanced data.
Cano A; Zafra A; Ventura S
IEEE Trans Cybern; 2013 Dec; 43(6):1672-87. PubMed ID: 23757568
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
