Sentence examples for of appropriate complexity from inspiring English sources

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].

As discussed earlier SELEX requires designing randomized RNA/DNA libraries of appropriate complexity and aptamer length to provide candidates for binding with the specific targets.

This approach is free from some of the impediments of SELEX, such as the need to design randomized DNA/RNA libraries of appropriate complexity and aptamer length to provide candidates for binding with the specific targets.

Recent editorials/articles by Konikow (2011), Voss (2011)a), and Voss (2011 b) raise questions about appropriate complexity of transport models, including the role of macrodispersion (especially at the regional scale), meaningful values of effective porosity, and simultaneous calibration of flow and transport properties.

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.

In order to select a model with an appropriate complexity, the number of component distributions J was selected using 5-fold cross validation [ 21] that was repeated 10 times varying J from 2 to 30.

These results are useful for identification of appropriate model complexity at individual stations, patterns across regions and sub-regions, interpolation and extrapolation of data, and catchment classification.

There is an increasing interest in catchment classification and regionalization in hydrology, as they are useful for identification of appropriate model complexity and transfer of information from gauged catchments to ungauged ones, among others.