Platt J. (1999). Fast training of support vector machines using sequential minimal optimization Advances in kernel methods: Support vector learning.

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References and models cited by this paper
References and models that cite this paper

Chu W, Keerthi SS. (2007). Support vector ordinal regression. Neural computation. 19 [PubMed]

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

Gunter L, Zhu J. (2007). Efficient computation and model selection for the support vector regression. Neural computation. 19 [PubMed]

Knebel T, Hochreiter S, Obermayer K. (2008). An SMO algorithm for the potential support vector machine. Neural computation. 20 [PubMed]

Sha F, Lin Y, Saul LK, Lee DD. (2007). Multiplicative updates for nonnegative quadratic programming. Neural computation. 19 [PubMed]

Shin H, Cho S. (2007). Neighborhood property-based pattern selection for support vector machines. Neural computation. 19 [PubMed]

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