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The results indicate that it is possible to estimate the applicability domain of a kernel based model using classical descriptor encodings of the molecules.
Instantaneous derivative estimates of a signal are obtained using the wighted least square (WLS) approximation of a Taylor (WLST) signal model, using classical windows as weighting factors.
This case is characterized by large, inelastic deformation that is difficult to model using classical fracture mechanics and analytic cohesive zone approaches.
Fluvial sediments with multi-scale channels are difficult to model using classical two-point statistical methods, e.g. sequential indicator simulation (SIS) or object-based modelling (ObjM).
A potential issue for fitting the model using classical inference is the need to specify an upper bound, K, to approximate an infinite summation in the likelihood.
To fit the model using classical inference, we assume the to be independent random variables with probability function, and then maximize the likelihood (1) where.
Similar(53)
Transverse cracks are modeled using classical Extended Finite Element Method (XFEM).
The problem was that modeling using classical mechanics was simple and could handle large molecules, but it didn't have any way to simulate chemical reactions.
The effects of time-dependent temperature fluctuations on surface-tension driven fluid flow inside a capillary are modeled using classical hydrodynamics.
The prototypical structure is modeled using classical energy methods and key response metrics are analyzed through the use of the method of averaging.
The moments of the solids phase velocity are modeled using classical kinetic theory, while the moments of the PDD are described using quadrature weights and abscissas.
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