Sentence examples for between model and target from inspiring English sources
The "unity in diversity" concept suggests that homology between model and target foretells functional similarities.
Biologists have taken modeling by analogy beyond most other disciplines, deriving the relationship between model and target through evolution.
Guala, for example, argues that we need not know the full range of similarities between model and target, but rather, need only check the dissimilarities deemed relevant by our current background knowledge.
Although a full specification of such states is impossible, very small errors in specifying such states lead to very small deviations between model and target system behaviors, at least for short times and good models.
The second mapping criterion depicted in Figure 6(b), considers as correct the association between model and target phonemes that was most frequently adopted by the recognition models on that particular target language.
One problem with relying merely on statistics to solve the problem of extrapolation, however, is that it cannot show that an observed correlation between model and target is the result of intervention and not some other unmeasured common cause, known as a confounder.
However, when a target is occluded, the conventional KT tends to lose the tracked target because of mismatch between target model and target candidate.
For two considered distribution, according to eq. (6), distance between target model and target candidate will be as: dleft overrightarrow{y}right)=sqrt{1-rho left overrightarrow{p}left overrightarrow{y}right),overrightarrow{q}right)} (8).
For example, when choosing a model organism for predicting carcinogenicity in humans, the place where differences between the model and target mechanisms are likely to appear is at the stage of metabolism.
The distinction between phenomena and mechanisms assumes specificity; i.e., there are specific phenomena (somite formation in vertebrates) or mechanisms (collinear Hox gene expression) in view when judging the relationship between source (model) and target.
Bearing this in mind, there are several criteria that affect the outcome of the MR calculation; 1) structural similarity between search model and target structure (measured by root mean square deviation (RMSD)); 2) percentage of residues missing from the search model (coverage); 3) the amount of conserved side chains (those expected to remain structurally conserved, e.g., in the protein interior).
