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Both discrete and continuous models are proposed.
HMMs are categorized into discrete and continuous models.
These phenomena cannot be modeled by stochastic continuous models.
However, for continuous models the maximum entropy distribution depends crucially on the metric over the parameters in the model.
In comparison with other continuous models, it has very fast calculations.
Deterministic structures can broadly be categorized into discrete and continuous models [126].
Moreover, c2 evaluates the most fundamental prediction of discrete and continuous models.
This technique has also been used in the domain of continuous models, as described above.
Discrete-time models can also provide efficient computational models of continuous models for numerical simulation.
The continuous models yielded Test R2 in the range of 0.71 0.96.
The key feature is a discrete analog of parameter estimation for continuous models.
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