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Glasmachers T, Igel C (2008) Second-order SMO improves SVM online and active learning. Neural Comput 20:374-82 [PubMed]

References and models cited by this paper

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Bordes A, Ertekin S, Weston J, Bottou L (2005) Fast kernel classifiers with on-line and active learning J Mach Learn Res 5:1579-1619

Cortes C, Vapnik V (1995) Support-vector networks Mach Learn 20:273-297

Fan RE, Chen PH, Lin CJ (2005) Working set selection using second order information for training support vector machines J Mach Learn Res 6:1889-1918

Glasmachers T, Igel C (2005) Gradient-based adaptation of general gaussian kernels. Neural Comput 17:2099-105 [Journal] [PubMed]

Glasmachers T, Igel C (2006) Maximum-gain working set selection for support vector machines J Mach Learn Res 7:1437-1466

Joachims T (1999) Making large-scale SVM learning practical Advances in kernel methods-Support vector learning, Scholkpf B:Burges C:Smola A, ed.

Keerthi S, Chapelle O, Decoste D (2006) Building support vector machines with reduced classifier complexity J Mach Learn Res 8:1-22

Platt J (1999) Fast training of support vector machines using sequential minimal optimization Advances in kernel methods: Support vector learning, Scholkopf B:Burges CJC:Smola AJ, ed. pp.185

Tsang IW, Kwok JT, Cheung PM (2005) Core vector machines: Fast SVM training on very large data sets J Mach Learn Res 6:363-392

Vishwanathan SVN, Smola AJ, Murty MN (2003) Simple SVM Proc 20th Intl Conf Mach Learn, Fawcett T:Mishra N, ed. pp.760

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