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Model families allow for creating basis and dependent models in order to reduce redundant work, when the basis model is changed.
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The superiority of the physical functional basis description method over the traditional functional basis model was demonstrated.
The BaSIS model was derived in ambulatory patients in Canada, and generalizability to those in other jurisdictions and those hospitalized in the acute care setting is unknown.
It is shown that the Radial Basis Network model is superior in this particular case.
The basis noise model is obtained from the silence segments of the input speech.
The complex exponential basis expansion model is chosen to describe the time-varying channel, from which the infinite channel parameters are mapped onto finite ones.
Results: We find that by working on a gene-by-gene basis, our model is able to extract clusters with greater functional coherence than existing methods.
The mathematical basis of this model is firstly presented.
The spatial basis of our model is a validated habitat model for the lynx in Germany.
The underlying basis for this model is the calculation of changes from known 'baseline ships'.
The physical basis of the model is motivated by the microstructural architecture of typical soft tissues.
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