Sentence examples for approximation tasks from inspiring English sources
However, MSE is not the best choice when it comes to image quality assessment (IQA) and signal approximation tasks [7].
Several results using the UCI repository of Machine learning database are showed for classification and approximation tasks.
The Bernstein basis function (BBF) network described in this paper is a novel neural network approach to performing functional approximation tasks such as curve and surface fitting.
Several brain regions show increased brain activation during numerical approximation tasks when compared to control tasks.
However, group differences surviving multiple comparisons were observed with another approximation task used in the study (approximate calculation with numerals).
The authors did not offer hypotheses regarding why such differences were observed with one but not the other approximation task.
Despite equal behavioral performance, there were differences in the brain activation patterns between low and high mathematical ability groups during the approximation task.
The aims of this study were to investigate the brain mechanisms associated with approximate numerosity in children and to assess whether individual differences in mathematical ability are associated with differential brain correlates during the approximation task.
One recent study comparing children with developmental dyscalculia (DD) and typically achieving schoolchildren found that during a non-symbolic approximation task (magnitude comparison) children with DD activated a network of primary and secondary visual areas including middle occipital gyrus, fusiform gyrus (FG), lingual gyrus, and cuneus [8].
The generalized analytical form of the extreme-value distribution that has successfully been applied in the MyPS [ 20] and big-Π predictors [ 17, 79] is used for this approximation task.
We apply the system to several function approximation and regression tasks and compare the results with recent research and state-of-the-art models.
