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The validation data set size is a regularization parameter (i.e. it steers the resulting model complexity) that needs to be estimated for real data sets.
Despite the progress that has been made, the degree of complexity that needs to be incorporated into these scaffolds is still not known.
The important difference in this case, however, is that there is no apparent logical complexity that needs explaining: being Quine — or perhaps better, quineity — as it happens, simply holds essentially and uniquely of Quine.
This is a possible complexity that needs to be factored in as more data becomes available.
However, there is also a deeper level of molecular complexity that needs to be considered.
Our finding that a single 4.1R cDNA can give rise to two 4.1R isoforms, long and short, establishes a new level of complexity that needs to be taken into account in future studies.
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In addition, there are other levels of complexity that need to be examined.
In the development and review of adolescent HIV vaccine protocols, there are many legal complexities that need to be addressed.
The above discussion (and additional elaborations below) points toward complexities that need to be resolved before meaningful interpretations can be made.
SVMs are trained by maximizing a constrained, quadratic optimization problem over Lagrange multipliers α: (28) The labels y i determine the class to which feature vector belongs and C is the so-called complexity parameter that needs to be tuned for optimal prediction performance.
Thus, the additional complexity that is needed by considering more simultaneous paths may not be justified, given the amount of performance gain.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com