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However, we use the decision obtained after processing the whole signal to maximize the recognition accuracy.
The role of feature selection methods in a high dimensional pattern classification problem is to select the minimum number of features that maximize the recognition accuracy.
We make use of regularized regression-based multi-task learning to simultaneously learn to predict different personality traits to maximize the recognition performance of leadership and extraversion.
In [21], a blind optimization of the parameter β, (0≤β≤1) was performed to maximize the recognition accuracy of the multimodal system.
As a consequence, the choice of value for the smooth parameter, S, should be set as to maximize the recognition of an objective quantity, such as information content.
These two contradictory objectives (namely, (a) to minimize the size of periocular template and (b) to maximize the recognition through the template) are aimed to be optimized through the proposed research.
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The integration weights are estimated in such a way that it maximizes the recognition accuracy.
By the training process, we can find the best memristance values of the crossbar array for maximizing the recognition rate of five vowels: 'a', 'i', 'u', 'e', and 'o' [18].
To select the two peptides, the simulated binding scores between synthetic cannabinoids and peptides was used by maximizing the recognition properties of amino acid motif between the two JWH and the other synthetic cannabinoids.
The two situations may need different tuning of the recognition step parameters (here only ) in order to maximize the accuracy of the recognition, but we kept the same value for comparison purposes.
The proposed method systematically chooses the best scaling factor xopt from a defined domain (0≤xopt≤1) so as to maximize the objective function (recognition accuracy) [20, 30].
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