A two-way accelerator for feature selection is presented by stepwise narrowing the search space for both samples and features.

May 1, 2024 · A two-way accelerator for feature selection is presented by stepwise narrowing the search space for both samples and features.

Semantic Scholar extracted view of "A two-way accelerator for feature selection using a monotonic fuzzy conditional entropy" by Yanyan Yang et al.

Oct 22, 2024 · Numerical experiments are further conducted to show the performance of the proposed fast algorithm, and the results demonstrate that the ...

A two-way accelerator for feature selection using a monotonic fuzzy conditional entropy ; Journal: Fuzzy Sets and Systems, 2024, p. 108916 ; Publisher: Elsevier ...

Yanyan Yang, Degang Chen, Zhenyan Ji , Xiao Zhang , Lianjie Dong: A two-way accelerator for feature selection using a monotonic fuzzy conditional entropy.

A two-way accelerator for feature selection using a monotonic fuzzy conditional entropy. Fuzzy Sets and Systems. 2024-05 | Journal article. DOI: 10.1016/j.fss ...

For further improvement, we propose an accelerator, called forward approximation, which combines sample reduction and dimensionality reduction together. The ...

A two-way accelerator for feature selection using a monotonic fuzzy conditional entropy ... Fuzzy Sets Syst. 2024. 3 Citations.

A two-way accelerator for feature selection using a monotonic fuzzy conditional entropy. Yanyan Yang, Degang Chen, Zhenyan Ji, Xiao Zhang, Lianjie Dong. https ...