255 related articles for article (PubMed ID: 20028222)
1. 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]
2. Incremental online learning in high dimensions.
Vijayakumar S; D'Souza A; Schaal S
Neural Comput; 2005 Dec; 17(12):2602-34. PubMed ID: 16212764
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Regularized variational Bayesian learning of echo state networks with delay&sum readout.
Shutin D; Zechner C; Kulkarni SR; Poor HV
Neural Comput; 2012 Apr; 24(4):967-95. PubMed ID: 22168555
[TBL] [Abstract][Full Text] [Related]
5. TAO-robust backpropagation learning algorithm.
Pernía-Espinoza AV; Ordieres-Meré JB; Martínez-de-Pisón FJ; González-Marcos A
Neural Netw; 2005 Mar; 18(2):191-204. PubMed ID: 15795116
[TBL] [Abstract][Full Text] [Related]
6. The relevance sample-feature machine: a sparse Bayesian learning approach to joint feature-sample selection.
Mohsenzadeh Y; Sheikhzadeh H; Reza AM; Bathaee N; Kalayeh MM
IEEE Trans Cybern; 2013 Dec; 43(6):2241-54. PubMed ID: 23782842
[TBL] [Abstract][Full Text] [Related]
7. Experiments with AdaBoost.RT, an improved boosting scheme for regression.
Shrestha DL; Solomatine DP
Neural Comput; 2006 Jul; 18(7):1678-710. PubMed ID: 16764518
[TBL] [Abstract][Full Text] [Related]
8. On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learning.
Mizutani E; Demmel JW
Neural Netw; 2003; 16(5-6):745-53. PubMed ID: 12850030
[TBL] [Abstract][Full Text] [Related]
9. A novel feature selection approach for biomedical data classification.
Peng Y; Wu Z; Jiang J
J Biomed Inform; 2010 Feb; 43(1):15-23. PubMed ID: 19647098
[TBL] [Abstract][Full Text] [Related]
10. Clustering: a neural network approach.
Du KL
Neural Netw; 2010 Jan; 23(1):89-107. PubMed ID: 19758784
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Bayesian feature and model selection for Gaussian mixture models.
Constantinopoulos C; Titsias MK; Likas A
IEEE Trans Pattern Anal Mach Intell; 2006 Jun; 28(6):1013-8. PubMed ID: 16724595
[TBL] [Abstract][Full Text] [Related]
14. Online learning of single- and multivalued functions with an infinite mixture of linear experts.
Damas B; Santos-Victor J
Neural Comput; 2013 Nov; 25(11):3044-91. PubMed ID: 24001344
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Simultaneous localized feature selection and model detection for gaussian mixtures.
Li Y; Dong M; Hua J
IEEE Trans Pattern Anal Mach Intell; 2009 May; 31(5):953-60. PubMed ID: 19299867
[TBL] [Abstract][Full Text] [Related]
17. Gene selection in cancer classification using sparse logistic regression with Bayesian regularization.
Cawley GC; Talbot NL
Bioinformatics; 2006 Oct; 22(19):2348-55. PubMed ID: 16844704
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Iterative principles of recognition in probabilistic neural networks.
Grim J; Hora J
Neural Netw; 2008 Aug; 21(6):838-46. PubMed ID: 18439802
[TBL] [Abstract][Full Text] [Related]
20. CARSVM: a class association rule-based classification framework and its application to gene expression data.
Kianmehr K; Alhajj R
Artif Intell Med; 2008 Sep; 44(1):7-25. PubMed ID: 18586476
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]