Genetic algorithm could help to achieve a more optimal performance of the ensemble classifiers.
Various optimization strategies are provided to cache these query compilations, which might in turn provide more optimal performance.
This article reviews some design considerations for the scaling down in size of instruments and machines with a primary aim to identify technologies that may provide more optimal performance solutions than those, often established, technologies used at macroscopic, or conventional, scales.
The results for Segment 2 ("Noise + sine") shown in the lower left plot are a bit more complicated: optimal performance is again obtained for t=1, but this optimum is shallower than that for Segment 1 and there is a second, small local minimum from t=2.5 to t=3, after which performance again degrades monotonically with increasing t.
In addition, quasi-steady modeling overestimates the generated lift and, as such, leads to a more optimal, but unrealistic, performance.
A large WPP has a complicated structure using several components, and the inclusion of RSFCL composes this layout more problematic for optimal performance of the system.
Rather the position of the sensors is more crucial for optimal performance.
Based on the selectivity of training, and the fact that the number of exercise training sessions by far outweighed the number of testing sessions (89 vs. 7), it is likely that neural activation strategies employed by the subjects were more guided towards optimal performance during the training sessions, than optimal performance during the fast voluntary isometric actions during testing.
As more cores are integrated onto a chip, it becomes more challenging to achieve the optimal performance over a given power budget.
Moreover, the number of gallery images needed to reach the optimal performance is more than the assumption in this problem, which is one or two training images per person.
Common resource virtualization techniques are mainly designed for stable networks; they fall short in providing optimal performance in more dynamic networks—such as mobile ad hoc networks (MANETs)—due to their highly dynamic and unstable nature.
