Sentence examples for appropriate complexity from inspiring English sources

Once the number of operations performed by the VA over a trellis module is determined, we must obtain the individual cost of the arithmetic operations S, Cb, and Ci for a more appropriate complexity comparison.

Ma et al. [2] proposed modeling the complexity of video frames by analyzing the individual module units of video decoders using an appropriate complexity model proposed by [5, 6], which adds a complexity profiler to video decoders.

Therefore, the central problem in classifier design by machine learning methods is that of finding a boundary surface of appropriate complexity; the complexity of a function is accurately defined by its Vapnik-Cervonenkis (VC) dimension, whose description goes beyond the scope of the present appendix.

Model stability is higher, geographic matches are more stable, and the problems due to data dredging are minimized, with models of appropriate complexity.

Novel conditions are more difficult to interpret with highly parameterized models (additional areas may be denoted as novel (or unsuitable, if the user fails to make that distinction) by axes that are in actuality irrelevant), but exclusion of these areas is relatively straightforward to interpret with models of appropriate complexity.

SELEX was developed for designing a randomized RNA/DNA library of appropriate complexity and aptamer length to provide candidates for binding with specific targets [ 19, 20].

Following the lead tendered by the credited screenwriters, Steve Koren and Mark O'Keefe, the director Frank Coraci struggles to push the character toward the kind of age-appropriate complexity lost on Mr. Sandler, forgetting that his star only works when, as all those ponderous bosoms suggest, he's un-weaned.

Here we define and synthesize the "Appropriate-Complexity Method" (ACME), which builds upon these two philosophies to guide the development of process-oriented models across a spectrum of scientific and management objectives.

Whereas we argued above that theory-driven evaluation designs are appropriate for complexity, the very complex nature of the programmes stands in the way of an easy assessment of effectiveness and of underlying mechanisms: the outcomes of complex interventions can be attributed to a number of determinants, only some of which are influenced by the intervention.

For a new data set, we recommend executing our program, fastSTRUCTURE, for multiple values of K to obtain a reasonable range of values for the appropriate model complexity required to explain structure in the data, as well as ancestry estimates at those model complexities.

The appropriate model complexity for a particular situation depends on the intended purpose of the model.