Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 357

1.

Correlation kernels for support vector machines classification with applications in cancer data.

Jiang H, Ching WK.

Comput Math Methods Med. 2012;2012:205025. doi: 10.1155/2012/205025. Epub 2012 Aug 7.

2.

Vicinal support vector classifier using supervised kernel-based clustering.

Yang X, Cao A, Song Q, Schaefer G, Su Y.

Artif Intell Med. 2014 Mar;60(3):189-96. doi: 10.1016/j.artmed.2014.01.003. Epub 2014 Feb 7.

PMID:
24637294
3.
4.

Efficient classification for additive kernel SVMs.

Maji S, Berg AC, Malik J.

IEEE Trans Pattern Anal Mach Intell. 2013 Jan;35(1):66-77.

PMID:
22392703
5.

A practical approach to model selection for support vector machines with a Gaussian kernel.

Varewyck M, Martens JP.

IEEE Trans Syst Man Cybern B Cybern. 2011 Apr;41(2):330-40. doi: 10.1109/TSMCB.2010.2053026. Epub 2010 Aug 9.

PMID:
20699214
6.
7.

Stochastic subset selection for learning with kernel machines.

Rhinelander J, Liu XP.

IEEE Trans Syst Man Cybern B Cybern. 2012 Jun;42(3):616-26. doi: 10.1109/TSMCB.2011.2171680. Epub 2011 Oct 27.

PMID:
22049369
8.

Gabor-based kernel PCA with fractional power polynomial models for face recognition.

Liu C.

IEEE Trans Pattern Anal Mach Intell. 2004 May;26(5):572-81.

PMID:
15460279
9.

Diagnosis of several diseases by using combined kernels with Support Vector Machine.

Ibrikci T, Ustun D, Kaya IE.

J Med Syst. 2012 Jun;36(3):1831-40. doi: 10.1007/s10916-010-9642-5. Epub 2011 Jan 11.

PMID:
21222221
10.

Recursive feature selection with significant variables of support vectors.

Tsai CA, Huang CH, Chang CW, Chen CH.

Comput Math Methods Med. 2012;2012:712542. doi: 10.1155/2012/712542. Epub 2012 Aug 15.

11.

L2-norm multiple kernel learning and its application to biomedical data fusion.

Yu S, Falck T, Daemen A, Tranchevent LC, Suykens JA, De Moor B, Moreau Y.

BMC Bioinformatics. 2010 Jun 8;11:309. doi: 10.1186/1471-2105-11-309.

12.

The kernel common vector method: a novel nonlinear subspace classifier for pattern recognition.

Cevikalp H, Neamtu M, Barkana A.

IEEE Trans Syst Man Cybern B Cybern. 2007 Aug;37(4):937-51.

PMID:
17702291
13.

A new fuzzy support vectors machine for biomedical data classification.

Czajkowska J, Rudzki M, Czajkowski Z.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:4676-9. doi: 10.1109/IEMBS.2008.4650256.

PMID:
19163759
14.

Prediction of human breast and colon cancers from imbalanced data using nearest neighbor and support vector machines.

Majid A, Ali S, Iqbal M, Kausar N.

Comput Methods Programs Biomed. 2014 Mar;113(3):792-808. doi: 10.1016/j.cmpb.2014.01.001. Epub 2014 Jan 10.

PMID:
24472367
15.

Seminal quality prediction using data mining methods.

Sahoo AJ, Kumar Y.

Technol Health Care. 2014;22(4):531-45. doi: 10.3233/THC-140816.

PMID:
24898862
16.

Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction.

Pochet N, De Smet F, Suykens JA, De Moor BL.

Bioinformatics. 2004 Nov 22;20(17):3185-95. Epub 2004 Jul 1.

PMID:
15231531
17.

Improved modeling of clinical data with kernel methods.

Daemen A, Timmerman D, Van den Bosch T, Bottomley C, Kirk E, Van Holsbeke C, Valentin L, Bourne T, De Moor B.

Artif Intell Med. 2012 Feb;54(2):103-14. doi: 10.1016/j.artmed.2011.11.001. Epub 2011 Nov 30.

PMID:
22134094
18.

A novel weighted support vector machine based on particle swarm optimization for gene selection and tumor classification.

Abdi MJ, Hosseini SM, Rezghi M.

Comput Math Methods Med. 2012;2012:320698. doi: 10.1155/2012/320698. Epub 2012 Jul 26.

20.

Profile-based string kernels for remote homology detection and motif extraction.

Kuang R, Ie E, Wang K, Wang K, Siddiqi M, Freund Y, Leslie C.

J Bioinform Comput Biol. 2005 Jun;3(3):527-50.

PMID:
16108083

Supplemental Content

Support Center