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This paper focuses on enhancing the effectiveness of filter feature selection models from two aspects. First, feature-searching engine is modified based on optimization theory. Second, a point injection strategy is designed to improve the regularization capability of feature selection. The second topic is important, because overfitting is usually experienced. To evaluate the proposed strategies, we...
This article proposes a novel mutual information-based feature selection scheme. In this scheme, the mutual information is estimated directly in an effective way even when one is handling a relative small data set. At the same time, the computation efficiency of the mutual information estimation is improved by proposing a supervised data compression algorithm. With these contributions, the proposed...
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