The mRMR-EHO is implemented to maximize the performance of individual regression algorithms and the results are provided in this research. In this paper, the effectiveness of CUBIST and mRMR-EHO feature selection using six fine grained data from small-sized data to big data is empirically ...
In this study, we present HFFS a Hybrid Fuzzy Feature Selection algorithm for high-dimensional regression problems. It benefits from both filter and wrapper methods. HFFS is composed of two main components: a filter-based Selector and a wrapper-based Modifier. Selector is an mRMR-based ...