… Recall that our goal is to compare two feature selection algorithms. We are thus seeking to
answer the following questions: (1) Do IN and OUT indeed have different bias? (2) Does this …

… This method has been applied to large datasets in two different application domains. … We
have applied various feature selection algorithms to select the best subset of texture features for …

… a feature selection algorithm as the sensitivity of the feature preferences … two sets, and 1
that the two sets are identical. To empirically estimate the stability of a feature selection algorithm …

… of most existing feature selection algorithms for conventional … feature selection repository
that consists of most of the popular … learning algorithm, a typical wrapper method performs two …

… This work describes a feature selection algorithm based on a … feature selection algorithm,
McTwo, based on the measurement Maximal Information Coefficient (MIC) [14] between two …

… two artificial domains; the LED Display domain and the Parity domain with and without noise.
Comparison with other feature selection algorithms … other feature selection algorithms both …

… choose our feature selection algorithm, which will provide high-quality feature subset and …
sometimes compares two feature selection methods on two different datasets with the same …

… In this paper, we proposed a two-stage feature selection algorithm by combining the IG (Information
Gain) filter approach and BPSO (Binary Particle Swarm Optimization) wrapper …

… a feature selection (FS) method. In this paper two new, simple, and efficient hybrid FS
algorithms… Both algorithms combine a wrapper FS method based on a Binary Differential Evolution …

… , we propose two feature selection algorithms. The limitation of mutual information feature …
One of the proposed algorithms makes more considered use of mutual information between …