Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 170

1.

Oriented principal component analysis for large margin classifiers.

Bermejo S, Cabestany J.

Neural Netw. 2001 Dec;14(10):1447-61.

PMID:
11771723
3.

Boosting random subspace method.

García-Pedrajas N, Ortiz-Boyer D.

Neural Netw. 2008 Nov;21(9):1344-62. doi: 10.1016/j.neunet.2007.12.046. Epub 2008 Jan 6.

PMID:
18272334
4.

Incremental learning of feature space and classifier for face recognition.

Ozawa S, Toh SL, Abe S, Pang S, Kasabov N.

Neural Netw. 2005 Jun-Jul;18(5-6):575-84.

PMID:
16102940
5.

Learning representations for object classification using multi-stage optimal component analysis.

Wu Y, Liu X, Mio W.

Neural Netw. 2008 Mar-Apr;21(2-3):214-21. doi: 10.1016/j.neunet.2007.12.023. Epub 2007 Dec 28. Erratum in: Neural Netw. 2008 May;21(4):698.

PMID:
18234472
6.

Complex-valued neural networks for nonlinear complex principal component analysis.

Rattan SS, Hsieh WW.

Neural Netw. 2005 Jan;18(1):61-9.

PMID:
15649662
7.

Principal component analysis-enhanced cosine radial basis function neural network for robust epilepsy and seizure detection.

Ghosh-Dastidar S, Adeli H, Dadmehr N.

IEEE Trans Biomed Eng. 2008 Feb;55(2 Pt 1):512-8. doi: 10.1109/TBME.2007.905490.

PMID:
18269986
8.

Rotation forest: A new classifier ensemble method.

Rodríguez JJ, Kuncheva LI, Alonso CJ.

IEEE Trans Pattern Anal Mach Intell. 2006 Oct;28(10):1619-30.

PMID:
16986543
9.

Optimal number of features as a function of sample size for various classification rules.

Hua J, Xiong Z, Lowey J, Suh E, Dougherty ER.

Bioinformatics. 2005 Apr 15;21(8):1509-15. Epub 2004 Nov 30.

PMID:
15572470
10.

Prototype classification: insights from machine learning.

Graf AB, Bousquet O, Rätsch G, Schölkopf B.

Neural Comput. 2009 Jan;21(1):272-300. doi: 10.1162/neco.2008.01-07-443.

PMID:
19431284
11.

Bias in error estimation when using cross-validation for model selection.

Varma S, Simon R.

BMC Bioinformatics. 2006 Feb 23;7:91.

12.

A classification paradigm for distributed vertically partitioned data.

Basak J, Kothari R.

Neural Comput. 2004 Jul;16(7):1525-44.

PMID:
15165399
13.

A theoretical and experimental analysis of linear combiners for multiple classifier systems.

Fumera G, Roli F.

IEEE Trans Pattern Anal Mach Intell. 2005 Jun;27(6):942-56.

PMID:
15943425
14.

Boosted online learning for face recognition.

Masip D, Lapedriza A, Vitrià J.

IEEE Trans Syst Man Cybern B Cybern. 2009 Apr;39(2):530-8. doi: 10.1109/TSMCB.2008.2007497. Epub 2008 Dec 16.

PMID:
19095543
15.

Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals.

Akdemir B, Kara S, Polat K, Güven A, Güneş S.

Artif Intell Med. 2008 Jun;43(2):141-9. doi: 10.1016/j.artmed.2008.03.007. Epub 2008 May 12.

PMID:
18468871
16.

A comparison approach toward finding the best feature and classifier in cue-based BCI.

Boostani R, Graimann B, Moradi MH, Pfurtscheller G.

Med Biol Eng Comput. 2007 Apr;45(4):403-12. Epub 2007 Feb 23.

PMID:
17318660
17.

Optimally regularised kernel Fisher discriminant classification.

Saadi K, Talbot NL, Cawley GC.

Neural Netw. 2007 Sep;20(7):832-41. Epub 2007 Jun 2.

PMID:
17600674
18.

Empirical error-confidence curves for neural network and Gaussian classifiers.

Wolff GJ, Stork DG, Owen A.

Int J Neural Syst. 1996 Jul;7(3):263-71.

PMID:
8891842
19.

Supervised mutual-information based feature selection for motor unit action potential classification.

Sheikholeslami N, Stashuk D.

Med Biol Eng Comput. 1997 Nov;35(6):661-70.

PMID:
9538543
20.

Algorithm for training the minimum error one-class classifier of images.

Guillen-Bonilla JT, Kurmyshev E, González E.

Appl Opt. 2008 Feb 1;47(4):541-7.

PMID:
18239714

Supplemental Content

Support Center