Sentence examples for functions training from inspiring English sources
There is initial research showing that treatment of comorbid ADHD and executive functions training significantly improve the outcome of obesity in individuals with comorbid ADHD or impairment in executive functions.
Perhaps even more important in terms of implementation science would be to assess, by means of rigorous randomized controlled trials, the effects of ADHD treatment or executive functions training on weight outcome in individuals enrolled in weight loss programs.
As I have long said, we will retain a transitional force to carry out three distinct functions: training, equipping, and advising Iraqi security forces as long as they remain non-sectarian; conducting targeted counter-terrorism missions; and protecting our ongoing civilian and military efforts within Iraq.
The data comprising ANN parameters such as weights and biases, activation functions, training algorithm used, number of input, and hidden layer neurons and also the initial pixel values are assumed to be available at the decompression stage to start with.
The ANN parameters such as weights and biases, activation functions, training algorithm used, number of input and hidden layer neurons are assumed to be available both at the compression and decompression stage, hence their values are not considered while computing the CR values.
In this trial, Verbeken and coworkers assessed the effects of executive functions training with video games aimed at improving inhibitory control and working memory.
Predictions were made at a sub-regional level to determine whether improvements could be made with discriminant functions trained by local data.
Therefore, MIML prediction functions trained months ago cannot predict purchase intentions at present accurately.
The methods are supervised, requiring fixed basis functions trained using the instrument modeling procedure in Section 2.4.
The AANNs are NNs of a conventional type, i.e. featuring feedforward connections and sigmoidal nodal transfer functions, trained by backpropagation or similar algorithms.
The Laplacian correlation noise model serves as a basis to derive the bit-plane error probability, which is mapped to a bit-rate using functions trained offline.
