138 related articles for article (PubMed ID: 17134326)
1. Fast generalized cross-validation algorithm for sparse model learning.
Sundararajan S; Shevade S; Keerthi SS
Neural Comput; 2007 Jan; 19(1):283-301. PubMed ID: 17134326
[TBL] [Abstract][Full Text] [Related]
2. Sparse kernel learning with LASSO and Bayesian inference algorithm.
Gao J; Kwan PW; Shi D
Neural Netw; 2010 Mar; 23(2):257-64. PubMed ID: 19604671
[TBL] [Abstract][Full Text] [Related]
3. Efficient learning and feature selection in high-dimensional regression.
Ting JA; D'Souza A; Vijayakumar S; Schaal S
Neural Comput; 2010 Apr; 22(4):831-86. PubMed ID: 20028222
[TBL] [Abstract][Full Text] [Related]
4. Significant vector learning to construct sparse kernel regression models.
Gao J; Shi D; Liu X
Neural Netw; 2007 Sep; 20(7):791-8. PubMed ID: 17604953
[TBL] [Abstract][Full Text] [Related]
5. Variable-weighted least-squares support vector machine for multivariate spectral analysis.
Zou HY; Wu HL; Fu HY; Tang LJ; Xu L; Nie JF; Yu RQ
Talanta; 2010 Mar; 80(5):1698-701. PubMed ID: 20152399
[TBL] [Abstract][Full Text] [Related]
6. A fast algorithm for AR parameter estimation using a novel noise-constrained least-squares method.
Xia Y; Kamel MS; Leung H
Neural Netw; 2010 Apr; 23(3):396-405. PubMed ID: 20005072
[TBL] [Abstract][Full Text] [Related]
7. Fast exact leave-one-out cross-validation of sparse least-squares support vector machines.
Cawley GC; Talbot NL
Neural Netw; 2004 Dec; 17(10):1467-75. PubMed ID: 15541948
[TBL] [Abstract][Full Text] [Related]
8. Nondegenerate piecewise linear systems: a finite Newton algorithm and applications in machine learning.
Yuan XT; Yan S
Neural Comput; 2012 Apr; 24(4):1047-84. PubMed ID: 22091666
[TBL] [Abstract][Full Text] [Related]
9. Efficient sparse kernel feature extraction based on partial least squares.
Dhanjal C; Gunn SR; Shawe-Taylor J
IEEE Trans Pattern Anal Mach Intell; 2009 Aug; 31(8):1347-61. PubMed ID: 19542571
[TBL] [Abstract][Full Text] [Related]
10. Weighted rank aggregation of cluster validation measures: a Monte Carlo cross-entropy approach.
Pihur V; Datta S; Datta S
Bioinformatics; 2007 Jul; 23(13):1607-15. PubMed ID: 17483500
[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. Investigation of different linear and nonlinear chemometric methods for modeling of retention index of essential oil components: concerns to support vector machine.
Riahi S; Pourbasheer E; Ganjali MR; Norouzi P
J Hazard Mater; 2009 Jul; 166(2-3):853-9. PubMed ID: 19144466
[TBL] [Abstract][Full Text] [Related]
13. Regularized estimation in the accelerated failure time model with high-dimensional covariates.
Huang J; Ma S; Xie H
Biometrics; 2006 Sep; 62(3):813-20. PubMed ID: 16984324
[TBL] [Abstract][Full Text] [Related]
14. Prediction of cytotoxicity data (CC(50)) of anti-HIV 5-phenyl-1-phenylamino-1H-imidazole derivatives by artificial neural network trained with Levenberg-Marquardt algorithm.
Arab Chamjangali M; Beglari M; Bagherian G
J Mol Graph Model; 2007 Jul; 26(1):360-7. PubMed ID: 17350867
[TBL] [Abstract][Full Text] [Related]
15. A regularized kernel CCA contrast function for ICA.
Alzate C; Suykens JA
Neural Netw; 2008; 21(2-3):170-81. PubMed ID: 18280110
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. A batch ensemble approach to active learning with model selection.
Sugiyama M; Rubens N
Neural Netw; 2008 Nov; 21(9):1278-86. PubMed ID: 18650061
[TBL] [Abstract][Full Text] [Related]
18. A new RBF neural network with boundary value constraints.
Hong X; Chen S
IEEE Trans Syst Man Cybern B Cybern; 2009 Feb; 39(1):298-303. PubMed ID: 19068436
[TBL] [Abstract][Full Text] [Related]
19. Validation-based sparse Gaussian process classifier design.
Shevade S; Sundararajan S
Neural Comput; 2009 Jul; 21(7):2082-103. PubMed ID: 19292648
[TBL] [Abstract][Full Text] [Related]
20. Support vector machine-based quantitative structure-activity relationship study of cholesteryl ester transfer protein inhibitors.
Riahi S; Pourbasheer E; Ganjali MR; Norouzi P
Chem Biol Drug Des; 2009 May; 73(5):558-71. PubMed ID: 19323654
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
