Sentence examples for maximize the discrimination from inspiring English sources
For the most part, those methods have focused on increasing the discrimination by enforcing a penalty to maximize the discrimination between the decomposed bases of different classes.
In particular, the intraclass correlation coefficient for the entire set of moments of the training images are used to select only a desired set of moments that maximize the discrimination among available classes.
SRN consists in (1) calculating, for each sample, all the log-ratios between abundances of chromatography-analyzed compounds, then (2) selecting the log-ratio(s) that best maximize the discrimination between sample-sets.
The idea of considering a FG model together with a BG model for the BG subtraction has been also taken into account in [56], where a pool of local BG features is selected at each time step in order to maximize the discrimination from the FG objects.
This paper argues for the use of the number of response categories that are meaningful to respondents as a criterion in designing attribute rating scales in marketing in contrast to a focus in past research on using scales to maximize the discrimination elicited from respondents.
Taking into account that the number of areas did not permit maximum discrimination to be achieved, all the scenarios of non-correlated inputs and outputs of a specific size were designed using Monte Carlo Pearson to maximize the discrimination of Monte Carlo DEA and the information included in the models.
This technique identifies the first discriminating component based on finding the vector a → that maximizes the discrimination index given as a → T B a → a → T W a → (13).
The DWT algorithm employs an adaptive wavelet basis function that maximizes the discrimination between the different combinations of homogenisers, storage and grape varieties.
The filter's parameters are selected by an immune genetic algorithm, which aims at maximizing the discrimination between the multi-textured regions.
where δ and λ are positive constants that control the trade-off between minimizing the reconstruction error and maximizing the discrimination power.
Random forests and PLS discriminant analysis were used to reduce the number of relevant features while maximizing the discrimination between given DCD subtypes.
