Neighborhood rough set based heterogeneous feature subset selection
Q Hu, D Yu, J Liu, C Wu - Information sciences, 2008 - Elsevier
Feature subset selection is viewed as an important preprocessing step for pattern
recognition, machine learning and data mining. Most of researches are focused on dealing …
recognition, machine learning and data mining. Most of researches are focused on dealing …
[PDF][PDF] Neighborhood rough set based heterogeneous feature subset selection
Q Hu, D Yu, J Liu, C Wu - Information Sciences, 2008 - Citeseer
abstract Feature subset selection is viewed as an important preprocessing step for pattern
recognition, machine learning and data mining. Most of researches are focused on dealing …
recognition, machine learning and data mining. Most of researches are focused on dealing …
Neighborhood rough set based heterogeneous feature subset selection
Q Hu, D Yu, J Liu, C Wu - Information Sciences—Informatics and …, 2008 - dl.acm.org
Feature subset selection is viewed as an important preprocessing step for pattern
recognition, machine learning and data mining. Most of researches are focused on dealing …
recognition, machine learning and data mining. Most of researches are focused on dealing …
Neighborhood rough set based heterogeneous feature subset selection
Q Hu, D Yu, J Liu, C Wu - Information Sciences, 2008 - infona.pl
Feature subset selection is viewed as an important preprocessing step for pattern
recognition, machine learning and data mining. Most of researches are focused on dealing …
recognition, machine learning and data mining. Most of researches are focused on dealing …
[引用][C] Neighborhood rough set based heterogeneous feature subset selection
Q HU - Information Sciences, 2008 - cir.nii.ac.jp
[引用][C] Neighborhood rough set based heterogeneous feature subset selection
Q Hu, D Yu, J Liu, C Wu - Information Sciences, 2008 - cir.nii.ac.jp
Neighborhood rough set based heterogeneous feature subset selection | CiNii Research
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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 …