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Items: 1 to 20 of 147

1.

A coordinate descent margin based-twin support vector machine for classification.

Shao YH, Deng NY.

Neural Netw. 2012 Jan;25(1):114-21. doi: 10.1016/j.neunet.2011.08.003. Epub 2011 Aug 17.

PMID:
21890319
2.

Large-scale linear nonparallel support vector machine solver.

Tian Y, Ping Y.

Neural Netw. 2014 Feb;50:166-74. doi: 10.1016/j.neunet.2013.11.014. Epub 2013 Nov 26.

PMID:
24317341
3.

Weighted twin support vector machines with local information and its application.

Ye Q, Zhao C, Gao S, Zheng H.

Neural Netw. 2012 Nov;35:31-9. doi: 10.1016/j.neunet.2012.06.010. Epub 2012 Jul 13.

PMID:
22944307
4.

TSVR: an efficient Twin Support Vector Machine for regression.

Peng X.

Neural Netw. 2010 Apr;23(3):365-72. doi: 10.1016/j.neunet.2009.07.002. Epub 2009 Jul 10.

PMID:
19616409
5.

Improvements on ν-Twin Support Vector Machine.

Khemchandani R, Saigal P, Chandra S.

Neural Netw. 2016 Jul;79:97-107. doi: 10.1016/j.neunet.2016.03.011. Epub 2016 Apr 12.

PMID:
27136663
6.

Nonparallel support vector machines for pattern classification.

Tian Y, Qi Z, Ju X, Shi Y, Liu X.

IEEE Trans Cybern. 2014 Jul;44(7):1067-79. doi: 10.1109/TCYB.2013.2279167. Epub 2013 Sep 5.

PMID:
24013833
7.

TWSVR: Regression via Twin Support Vector Machine.

Khemchandani R, Goyal K, Chandra S.

Neural Netw. 2016 Feb;74:14-21. doi: 10.1016/j.neunet.2015.10.007. Epub 2015 Nov 3.

PMID:
26624223
8.

Improvements on twin support vector machines.

Shao YH, Zhang CH, Wang XB, Deng NY.

IEEE Trans Neural Netw. 2011 Jun;22(6):962-8. doi: 10.1109/TNN.2011.2130540. Epub 2011 May 5.

PMID:
21550880
9.

Twin Support Vector Machines for pattern classification.

Jayadeva, Khemchandani R, Chandra S.

IEEE Trans Pattern Anal Mach Intell. 2007 May;29(5):905-10.

PMID:
17469239
10.

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
11.

The maximum vector-angular margin classifier and its fast training on large datasets using a core vector machine.

Hu W, Chung FL, Wang S.

Neural Netw. 2012 Mar;27:60-73. doi: 10.1016/j.neunet.2011.10.005. Epub 2011 Oct 21.

PMID:
22057092
12.

Accurate on-line ν-support vector learning.

Gu B, Wang JD, Yu YC, Zheng GS, Huang YF, Xu T.

Neural Netw. 2012 Mar;27:51-9. doi: 10.1016/j.neunet.2011.10.006. Epub 2011 Oct 20.

PMID:
22057091
13.

Maximum Margin of Twin Spheres Support Vector Machine for Imbalanced Data Classification.

Xu Y.

IEEE Trans Cybern. 2017 Jun;47(6):1540-1550. doi: 10.1109/TCYB.2016.2551735. Epub 2016 Apr 21.

PMID:
27116760
14.

Robust support vector machine-trained fuzzy system.

Forghani Y, Yazdi HS.

Neural Netw. 2014 Feb;50:154-65. doi: 10.1016/j.neunet.2013.11.013. Epub 2013 Nov 21.

PMID:
24316676
15.

[Automatic classification method of star spectra data based on manifold fuzzy twin support vector machine].

Liu ZB, Gao YY, Wang JZ.

Guang Pu Xue Yu Guang Pu Fen Xi. 2015 Jan;35(1):263-6. Chinese.

PMID:
25993861
16.

Granular support vector machines with association rules mining for protein homology prediction.

Tang Y, Jin B, Zhang YQ.

Artif Intell Med. 2005 Sep-Oct;35(1-2):121-34.

PMID:
16024240
17.

Maximum margin semi-supervised learning with irrelevant data.

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

Neural Netw. 2015 Oct;70:90-102. doi: 10.1016/j.neunet.2015.06.004. Epub 2015 Jul 15.

PMID:
26264172
18.

Quantum optimization for training support vector machines.

Anguita D, Ridella S, Rivieccio F, Zunino R.

Neural Netw. 2003 Jun-Jul;16(5-6):763-70.

PMID:
12850032
19.

An SMO algorithm for the potential support vector machine.

Knebel T, Hochreiter S, Obermayer K.

Neural Comput. 2008 Jan;20(1):271-87.

PMID:
18045009
20.

Laplacian twin support vector machine for semi-supervised classification.

Qi Z, Tian Y, Shi Y.

Neural Netw. 2012 Nov;35:46-53. doi: 10.1016/j.neunet.2012.07.011. Epub 2012 Aug 10.

PMID:
22954478

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