Sentence examples for making specific assumptions from inspiring English sources
The proposed methods avoid making specific assumptions about microstructure noise, and facilitate comparisons of estimators that would be difficult using methods from the extant literature, such as those based on different sampling schemes.
We describe our system model in Section 2. The performance metrics and main results are given in Section 3. In the same section, much simpler expressions are obtained by making specific assumptions on the system model.
It should be pointed out (discussed in detail in [13]) that not making specific assumptions as to the origin of the affinity of the T cell to the target, the energy-minimization method does not negate specificity of the antigen-mediated immunological cell interactions.
A number of approaches have been previously developed for solving BSS problems (Comon, 2010) by making specific assumptions about the original sources.
However, regularization entails making specific assumptions about the nature of the purified cancer expression profiles, and purification quality would probably be reduced if the regularization assumptions were violated.
ForSim is a flexible software package that allows users to re-define case or control status by making specific assumptions about disease frequency and penetrance when associated with dominant, recessive and multiplicative models.
By making specific assumption for the loading histories that correspond to in-plane biaxial tension/compression as well as in-plane simple shear, we obtain necessary expressions for the shift vector components in order all field equations to be satisfied.
While many methods [13 16] make specific assumptions in their applications, SPN-based methods [1 12] do not require such assumptions to be satisfied and thus have drawn much more attention.
Finally, Smith-Martin type models [18], [24], [32] make specific assumptions about the progression of the cell cycle.
Microsimulation models provide a method for evaluating the comparative effectiveness of such targeted interventions, but this requires that modelers make specific assumptions about how risk factors influence the natural history of disease.
The limitations are that for many therapies we have limited knowledge about their long-term efficacy (and Adjuvant! makes specific assumptions to deal with this), and undoubtedly we will learn more about how some tumors' characters may affect their sensitivity to therapy.
