• Journal of Infrared and Millimeter Waves
  • Vol. 23, Issue 6, 418 (2004)
[in Chinese] and [in Chinese]
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    [in Chinese], [in Chinese]. NOVEL APPROACH TO MULTI-CLASS CLASSIFICATION[J]. Journal of Infrared and Millimeter Waves, 2004, 23(6): 418 Copy Citation Text show less
    References

    [1] Friedman J H. Another approach to polychotomous classification[R]. Technical report, Department of Statistics, Stanford Univeristy, 1997.

    [2] Platt J H, Cristianini N, Shawe-Taylor J. Large Margin DAGs for Multiclass Classification[M]. Advances in Neural Information Processing Systems 12, Cambridge MIT Press, 2000, 547-553.

    [3] Mayoraz E, Alpaydin E. Support vector machine for multiclass classification[C]. Proceedings of International Workshop on Artificial Neural Networks,Spain: Alicante, 1999.

    [4] Bennet K P, Cristianini N, Shaue Taylor J, et al. Enlarging the margins in perceptron decision trees[J]. Machine Learning, 2000, 41(3):, 295-313.

    [5] Platt J C. Fast Training of Support Vector Machines using Sequential Minimal Optimization [M]. Advances in Kernel Methods:Support Vector Learning, Cambridge:MIT Press, 1999, 185-208.

    [in Chinese], [in Chinese]. NOVEL APPROACH TO MULTI-CLASS CLASSIFICATION[J]. Journal of Infrared and Millimeter Waves, 2004, 23(6): 418
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