However, individual models using different modeling methods or similarity measurements could vary significantly and capture different part of the relationship.
Most notably, the difference between the extrapolation to children based on two PBPK models (using different anatomical and physiological parameter values) is of the same size as the difference between allometric scaling and PBPK extrapolation.
developing multiple models using different DSMLs.
Moreover, capturing all important aspects of such a system requires developing multiple models using different DSMLs.
However, the observation of similar phenomena in different disease models, using different animal strains, makes this explanation somewhat unsatisfactory.
Extensive models using different landscapes for harvest mice yielded acceptable predictions.
It is usually necessary to create models using different modeling languages and methods.
Two sets of 2D molecular descriptors (P_VSA and BCUT) were used to build models using different biological activity thresholds.
The single LSSVM and other ensemble models using different decomposition and combination strategies are also established to make a comparison.
We tried building a number of models using different combinations of features, but it turns out that most of the features we chose (headline, tags, and so on) did not have much correlation to the feature we were trying to predict.
Methods to estimate the parameters and the time delay of continuous time transfer function models using different nonideal step inputs are presented.
