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Further t-statistic, f-statistic and GMDH are used for feature selection purpose and the features so selected are fed as input to GMDH, CPNN and fuzzy ARTMAP for classification purpose.
Information gain refers to a method used for feature selection, where the basic idea is to select features that reveal the most information about the classes.
The ranking is then used for feature selection.
The resulting relative variable influences can be used for feature selection.
A straightforward and quick procedure called Sequential Forward Selection method is used for feature selection process.
Therefore, the Eigen vectors found by SSPCA can be used for feature selection in various high dimensional problems.
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In the next sections, we give the background and the details of the methods that we use for feature selection transfer learning and multi-task learning.
Section 3 presents evaluation index group definitions used for feature word selection.
These new 271 promoters, used as test sequences, did not contain any of the 305 promoter and 305 non-promoter sequences which were used earlier for feature selection and training of PromoBot.
Further t-statistic and f-statistic are also used separately for feature selection in the first phase.
Minimum-Redundancy-Maximum-Relevance (mRMR) [10] is a widely used method for feature selection.
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