Feature selection based on neighborhood self-information

C Wang, Y Huang, M Shao, Q Hu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The concept of dependency in a neighborhood rough set model is an important evaluation
function for the feature selection. This function considers only the classification information …
被引用次数：212 相关文章

Feature Selection Based on Neighborhood Self-Information

C Wang, Y Huang, M Shao, Q Hu… - IEEE transactions on …, 2020 - pubmed.ncbi.nlm.nih.gov
The concept of dependency in a neighborhood rough set model is an important evaluation
function for the feature selection. This function considers only the classification information …

Feature Selection Based on Neighborhood Self-Information.

C Wang, Y Huang, M Shao, Q Hu… - IEEE Transactions on …, 2019 - europepmc.org
The concept of dependency in a neighborhood rough set model is an important evaluation
function for the feature selection. This function considers only the classification information …
[PDF] researchgate.net

[PDF][PDF] Feature Selection Based on Neighborhood Self-Information

C Wang, Y Huang, M Shao, Q Hu, D Chen - researchgate.net
The concept of dependency in a neighborhood rough set model is an important evaluation
function for the feature selection. This function considers only the classification information …

[引用][C] Feature Selection Based on Neighborhood Self-Information

C Wang, Y Huang, M Shao, Q Hu, D Chen - IEEE Transactions on …, 2020 - cir.nii.ac.jp
Feature Selection Based on Neighborhood Self-Information | CiNii Research CiNii 国立情報学
研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学 …