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In particular, the proposed approach helps to increase the classification accuracy, while enhancing classification efficiency by requiring considerably less features.
Some of the applications of pansharpening include improving geometric correction, enhancing certain features not visible in either of the single data alone, changing detection using temporal data sets and enhancing classification [10].
This clearly confirms the contribution of considering common active interactions between the HTS assays as a dependency factor towards enhancing classification performance.
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Although kernel methods can provide enhanced classification results, they usually suffer from high computational complexity.
The proposed measure can be also used to derive new features that enhance classification accuracy.
Zhang et al. [22] adopted domain feature enhanced classification model for the detection of Chinese phishing e- business websites.
In designing fuzzy rule based classification systems (FRBCSs), complex fuzzy rule extraction techniques and tuning membership functions are frequently used to enhance classification accuracy.
Also there is no comparison evaluation to determine if using these Stylometric features in addition to n-gram features enhances classification performance.
Results indicate that glottal signal features provide good separation of spoken emotions and achieve enhanced classification performance when compared to other approaches.
Moreover, we demonstrated how this technique can enhance classification accuracy while making the neural network unbiased in terms of view point.
In addition, the method integrates results from the classification with levels of the rheumatoid factor in the sample by optimized classifier weighting, in order to enhance classification accuracy, i.e. sensitivity and specificity.
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