Sentence examples for models of unknown from inspiring English sources

A new kernel invariance algorithm (KIA) is introduced to determine both the significant model terms and estimate the unknown parameters in non-linear continuous-time differential equation models of unknown systems.

In underdetermined conditions, i.e., cases of dealing with how best to instantaneously and rapidly construct data-consistent prime models of unknown (or well-studied) complex system from small-sized time series data, inference of unknown underlying network of interaction is more challenging.

The scores were calculated by a fit criterion after examining the distances within the models of unknown sequences.

Because of the complex dynamics of discrete event systems (DESs), it is very difficult to obtain a model of unknown DESs from given input and output data.

On such a basis we sketch a model of unknown functions impinging on intentional actions through a high level form of (MA) reinforcement learning.

This work was done to establish the molecular basis and regulation of the formation pattern of cadherin/β-catenin-mediated adherens junctions, using an animal model of unknown gene sequence, the toad Rhinella arenarum.

For template-based modelling of unknown structures, several structure prediction server are available [29].

Including age-dependent parameters in the model (of unknown age dependency!) adds to the complexity – a simpler model with good explanatory power may be preferred.

In contrast, GP approaches provide a framework for the probabilistic modelling of unknown functions rather than unknown distributions.

We used reliable and valid metrics that assessed local constructs of mental health rather than translating a "western" model of unknown relevance in Gulu [ 18, 22].

These were introduced by Ferguson (1973) and Antoniak (1974), and provide a framework for the probabilistic modelling of unknown probability distributions.