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Nov 16: Can we replace complicated LSTM models with simpler, interpretable models?

Less common is the use of models with simpler geometric assumptions but rigorous evaluations of the thermodynamic properties of the flowing fluid.

We compare these models with simpler models defined on binary phyletic vectors, such as the substitution matrices described by Cohen et al.[ 8].

We compared the full models with simpler nested models by removing a different variance component each time, using Restricted Maximum Likelihood (REML) to assess the significance of random effects.

Thus, it is possible to compare more complex models with simpler models, for example a model including gender differences in aetiology with one that includes no gender differences, and assess on the grounds of parsimony which is the best-fitting model.

To estimate more easily interpretable numerical estimates of the temperature-myocardial infarction association, we then went on to fit models with simpler linear temperature terms and linear threshold temperature terms (which specify that the heat effect operates only above a particular threshold).

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Nettelmann, N. et al. Uranus evolution models with simple thermal boundary layers.

The authors describe how to build and analyze multistate models with simple assumptions about behavior, and develop a general modeling methodology for the construction of models as playable games.

This finding suggests that models with simple pairwise additive interaction schemes, involving hydrophobic interactions and hydrogen bonding, can mimic the folding of small helical proteins, but that such models are insufficient to produce high degrees of folding cooperativity.

The conclusion follows from symmetry considerations and therefore applies to a wide class of models with simple plane wave solutions.

Backwards stepwise logistic regression models with simple contrasts were used to examine multivariate associations.

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