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Model space methods only adapt the model parameters to fit the distorted speech signal.
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The second main category is the model-space methods [17, 18].
The various methods of model space reduction often automatically produce some level of smoothening (homogenization) of the reservoir model parameters such as grid block permeabilities.
Thus, different methods of model space reduction have been proposed in the literature to reduce the number of model parameters to be estimated from the production history, thereby reducing the non-uniqueness associated with the inverse modeling.
Comprehensive model space based biochemical equilibrium model selection methods are realizable.
Therefore, the overlapping of both genes spaces, even when functional, may be a drastic approach with risks of rejecting significant genes detected by the methods in their own model space.
Bagging [8] can be seen as a method for sampling the model space.
We propose an efficient method to sample this model space while simultaneously estimating the phylogeny.
This process requires clear statements of the model space explored, the criterion used to rank models, and the method used to search the space.
These methods are applied to nonlinear reliability prediction when compared with physical model methods, which mainly include computational intelligence methods, statistical methods, and state space methods.
Model space.
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