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Models are trained not to sit down on the job.
The surrogate models are trained adaptively during optimization based on a genetic algorithm.
The predictive models are trained using meteorological information from two stations (i.e., Mersin and Adana, Turkey).
All the models are trained and tested, the results obtained are recorded.
Person-specific models are trained from video sequences to form many individual eigenspaces in [27].
The baseline system (linguistic models are trained on Ohm_N) is given in column "Ohm_N".
The models are trained with expectation maximisation algorithm [26] using segmented training examples.
Both GMM and MLP models are trained with different context sizes for fair comparison.
The phoneme language models are trained on the speech database text.
These language-dependent models are trained on hundreds of thousands of recorded and annotated speech utterances.
In all configurations, the acoustic models are trained using the modified feature space.
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