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- W2034686302 abstract "We present a novel neural network algorithm to train HMM models, called Competitive Forward Backward algorithm (CFB). It focuses on the minimization of the misclassification rate, rather than the classical maximization of the likelihood of each model. The essence of the CFB algorithm is the application of LVQ neural network classification technique into the Baum Welch algorithm. This algorithm is introduced for the first time in this work. Some initial experiments have shown that greatly outperforms the Baum Welch, and can be applied successfully to speech recognition." @default.
- W2034686302 created "2016-06-24" @default.
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- W2034686302 date "1995-01-01" @default.
- W2034686302 modified "2023-09-25" @default.
- W2034686302 title "The Competitive Forward-Backward algorithm (CFB)" @default.
- W2034686302 doi "https://doi.org/10.1049/cp:19950533" @default.
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