Classification and Ranking Approaches to Discriminative Language Modeling for ASR. Erinç Dikici , Murat Semerci , Murat Saraçlar , Ethem Alpaydın. IEEE TRANSACTIONS 2013. 報告者：郝柏翰. Outline. Introduction Methods Experiments Conclusion. Introduction.
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Erinç Dikici, Murat Semerci, Murat Saraçlar, Ethem Alpaydın
the weights are averaged over the number of utterances (I)
and epochs (T) to increase model robustness:
Here the learning rates τ are hypothesis-specific, and are found by solving the following optimization problem:
Note that binary MIRA cannot be directly applied to our problem since we do not have the true labels of the instances; We propose single and multiple update versions of MIRA for structured prediction
If ra = 1 and rb = 2 then ra > rb