Monolithic 发表于 2025-3-30 10:04:49

Robust Parameter Estimationrameters on the available training samples. Yet the situation is not as severe as in the case of .-gram models, for which no useful models could be created without suitable measures (cf. section 6.5). However, also with HMMs one is confronted with the so-called . when working with more complex model

Spinal-Tap 发表于 2025-3-30 13:45:03

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自传 发表于 2025-3-30 17:03:55

Model Adaptation is by definition not part of the training samples and can never be in practical applications. The characteristic properties of this test data can thus only to a limited extent be predicted on the basis of the training material. Therefore, in general differences between training and testing material

铁砧 发表于 2025-3-30 22:16:34

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驾驶 发表于 2025-3-31 01:10:06

Speech Recognitione considered to be solved, even if the media and also some researchers sometimes make that impression. As by now a multitude of techniques is required to build a competitive speech recognition system, there are only a few systems left, which can sustain then-position at the top of the international

痛苦一生 发表于 2025-3-31 05:09:31

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等待 发表于 2025-3-31 10:52:11

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言行自由 发表于 2025-3-31 14:33:25

shown itself on many fronts.. The impact of his thought has influenced science, religion, philosophy, psychology, psychiatry, psychoanalysis, economics, mythology, art, and the study of history. In addition, his explorations of the objective psyche, the archetypal basis of mind, the mythical struct

condone 发表于 2025-3-31 18:31:52

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查看完整版本: Titlebook: Markov Models for Pattern Recognition; From Theory to Appli Gernot A. Fink Book 20081st edition Springer-Verlag Berlin Heidelberg 2008 Biol