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The HPMs given here may also have other, more general modeling applicability in hydrology, geomorphology and ecology, and so are described here from a general perspective.
In such cases comparative approaches with other areas and more general modeling studies can be recommended.
Thus, MEM falls short of addressing challenges (ii) and (iii) stated earlier in this section, whereas SKQ is a more general modeling method.
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Our method can be also applied to more general models such as generalized linear models, including linear regression and other non-linear regression models with some modification.
More general models include autoregressive conditional heteroskedasticity (ARCH) models and generalized ARCH (GARCH) models.
In more general models, one must resort to suboptimal algorithms.
GloVe is a more general model compared with word2vec.
This extension can take into account more general models that represent more realistic situations.
The more general model known as switching regression model seems to be preferred.
More general models with multiple PUs and SUs have been studied in [81].
More general model, which incorporates the probability of detection, can be found in [11, 33].
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