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Results: 1 to 20 of 181

1.

Oriented principal component analysis for large margin classifiers.

Bermejo S, Cabestany J.

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

PMID:
11771723
[PubMed - indexed for MEDLINE]
2.

Efficient and robust feature extraction by maximum margin criterion.

Li H, Jiang T, Zhang K.

IEEE Trans Neural Netw. 2006 Jan;17(1):157-65.

PMID:
16526484
[PubMed - indexed for MEDLINE]
3.

Statistical mechanics of learning with soft margin classifiers.

Risau-Gusman S, Gordon MB.

Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Sep;64(3 Pt 1):031907. Epub 2001 Aug 29.

PMID:
11580367
[PubMed - indexed for MEDLINE]
4.

Classifier design for computer-aided diagnosis: effects of finite sample size on the mean performance of classical and neural network classifiers.

Chan HP, Sahiner B, Wagner RF, Petrick N.

Med Phys. 1999 Dec;26(12):2654-68.

PMID:
10619251
[PubMed - indexed for MEDLINE]
5.
6.

Large-scale maximum margin discriminant analysis using core vector machines.

Tsang IH, Kocsor A, Kwok JY.

IEEE Trans Neural Netw. 2008 Apr;19(4):610-24. doi: 10.1109/TNN.2007.911746.

PMID:
18390308
[PubMed - indexed for MEDLINE]
7.

Feature selection and classifier performance in computer-aided diagnosis: the effect of finite sample size.

Sahiner B, Chan HP, Petrick N, Wagner RF, Hadjiiski L.

Med Phys. 2000 Jul;27(7):1509-22.

PMID:
10947254
[PubMed - indexed for MEDLINE]
8.

Maxi-min margin machine: learning large margin classifiers locally and globally.

Huang K, Yang H, King I, Lyu MR.

IEEE Trans Neural Netw. 2008 Feb;19(2):260-72. doi: 10.1109/TNN.2007.905855.

PMID:
18269957
[PubMed - indexed for MEDLINE]
9.

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
[PubMed - indexed for MEDLINE]
10.

Incremental learning of chunk data for online pattern classification systems.

Ozawa S, Pang S, Kasabov N.

IEEE Trans Neural Netw. 2008 Jun;19(6):1061-74. doi: 10.1109/TNN.2007.2000059.

PMID:
18541504
[PubMed - indexed for MEDLINE]
11.

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
[PubMed - indexed for MEDLINE]
12.

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.

PMID:
15732402
[PubMed - indexed for MEDLINE]
13.

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
[PubMed - indexed for MEDLINE]
14.

Uncorrelated multilinear principal component analysis for unsupervised multilinear subspace learning.

Lu H, Plataniotis KN, Venetsanopoulos AN.

IEEE Trans Neural Netw. 2009 Nov;20(11):1820-36. doi: 10.1109/TNN.2009.2031144. Epub 2009 Sep 29.

PMID:
19789108
[PubMed - indexed for MEDLINE]
15.

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

Rattan SS, Hsieh WW.

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

PMID:
15649662
[PubMed - indexed for MEDLINE]
16.

Locality-preserved maximum information projection.

Wang H, Chen S, Hu Z, Zheng W.

IEEE Trans Neural Netw. 2008 Apr;19(4):571-85. doi: 10.1109/TNN.2007.910733.

PMID:
18390305
[PubMed - indexed for MEDLINE]
17.

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
[PubMed - indexed for MEDLINE]
18.

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
[PubMed - indexed for MEDLINE]
19.

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
[PubMed - indexed for MEDLINE]
Free Article
20.

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
[PubMed - indexed for MEDLINE]

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