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Constraint optimization modelers like IMP, procedural and analytical modeling approaches like Molecular Silverware and relaxation approaches like Brownian Dynamics modeling are currently used to build large-scale models.
This notably followed the release of the Millennium Ecosystem Assessment in 2005 (MA 2005) and, shortly after, the launch of systematic and sustained ecosystem services modeling approaches like Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST, Sharp et al. 2014) and Artificial Intelligence for Ecosystem Services (ARIES, Villa et al. 2014).
UML-based modeling approaches like BioUML are object-oriented, meaning that their main building blocks are objects, which are primary static entities that own processes.
Several qualitative modeling approaches, like those using PADEs [ 4] or discrete abstractions (either boolean abstraction [ 11] or multivalued abstraction [ 12]), share similar characteristics but come from different theoretical backgrounds.
In contrast to other QSAR modeling approaches like partial least squares, the models learned by kernel methods can not be interpreted in a straightforward manner.
PSE solutions appropriate for these challenges involve harnessing multivariate statistics, automated modeling approaches like genetic programming, and multivariable model-based control.
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It should be noted that this study, like all other modeling approaches, is limited by the boundaries each model brings with itself.
Like most codon modeling approaches, PhyloCSF assumes statistical independence of each codon site from all the others in the alignment (conditional on the model parameters).
Processes like Fisher Tropsch synthesis that yield a very large spectrum of products present challenges for modeling approaches due to the large networks that are involved.
Fig. 1 Different modeling approaches for orthosis prototypes.
The comparative evaluation was made between these modeling approaches.
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