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The results show fuzzy pattern recognition performance for the multi-status human being behind the wall.
Current approaches to improve the pattern recognition performance mainly focus on either extracting non-stationary and discriminant features of each class, or employing complex and nonlinear feature classifiers.
KNN method as a kind of no parameters of a simple and effective method of text categorization based on the statistical pattern recognition performance outstanding; it can achieve higher classification accuracy rate and recall rate [29 31].
The GA was used to optimize pattern recognition performance on training sets using a figure of merit designed to maximize correct classification of acceptable samples and minimize classification of unacceptable samples or samples of dissimilar materials.
As such, PHI pattern recognition performance may not be generalizable to different datasets (i.e. data from a different institution or a different type of medical report).
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Like pattern recognition, the performance of CAD systems is assessed by k-fold cross-validation test, bootstrap method, leave-one-out [19], etc.
We strived to maximize inclusion of relevant attributes to mitigate the problem of overfitting to increase model replicability [ 96], while excluding unimportant attributes that may be detrimental to pattern recognition schemes performance.
A direct association is made between the properties of the ridge patterns and the recognition performance of the sample.
We also found a qualitatively different pattern of forced-choice recognition performance as a function of claimed awareness.
Secondly, thanks to more elaborate performance scripts, expert raters may rely more often on top-down information processing or pattern recognition when observing and judging performance -especially when time constraints and/or competing responsibilities play a role.
Also, RPROP is known by its high performance on pattern recognition problems.
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CEO of Professional Science Editing for Scientists @ prosciediting.com