Large Margin - Minimum Classification Error Using Sum of Shifted Sigmoids as the Loss Function
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[1] E. McDermott,et al. Minimum classification error via a Parzen window based estimate of the theoretical Bayes classification risk , 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.
[2] Biing-Hwang Juang,et al. Minimum classification error rate methods for speech recognition , 1997, IEEE Trans. Speech Audio Process..
[3] Jonathan Le Roux,et al. Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[4] Li Deng,et al. Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition , 2007 .
[5] Biing-Hwang Juang,et al. Multi-Class Classification Using a New Sigmoid Loss Function for Minimum Classification Error (MCE) , 2010, 2010 Ninth International Conference on Machine Learning and Applications.
[6] Jinyu Li,et al. Approximate Test Risk Bound Minimization Through Soft Margin Estimation , 2007, IEEE Transactions on Audio, Speech, and Language Processing.