… feature selection algorithm considering feature interaction is proposed. Firstly, feature relevance,
feature redundancy and feature … propose an Interaction Weight based Feature Selection …

… of positive interaction and negative interaction, we present a new streaming feature selection
method that can guarantee the selected features relevant to the class and interact with …

… novel feature selection method incorporating variable interaction. … be significantly reduced
by considering interactions. Secondly, a … In summary, interaction-based methods may lead to …

… an interactive and relevance-based feature selection method… interactive features, and then
put forward a feature selection … basis of measuring feature relevance and feature interaction. …

… In this paper we explore effects of various feature selection … for feature selection in order
to obtain the feature space for … Experiments show that feature selection based on the linear …

… feature selection methods that are computationally efficient, yet sensitive to complex patterns
of association, eg interactions, so that informative features … style feature selection algorithms …

… feature relevance and feature interaction to measure the feature importance and proposes
a new feature selection algorithm based on interaction gain and the recursive feature …

… In this paper, four filter methods for feature selection are applied over a synthetic data set …
regarding the number of features and samples, the level of noise and the interaction between …

… -label feature selection method, we derive theoretical bounds for the interaction information.
… proposed multi-label feature selection method discovers effective feature subsets for multi-…

… , we find that feature selection based on the labeled training set has little effect. But our
experiments on human subjects indicate that human feedback on feature relevance can identify a …