Selecting discrete and continuous features based on neighborhood decision error minimization

Q Hu, W Pedrycz, D Yu, J Lang - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Feature selection plays an important role in pattern recognition and machine learning.
Feature evaluation and classification complexity estimation arise as key issues in the …
被引用次数：277 相关文章

Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization

Q Hu, W Pedrycz, D Yu, J Lang - IEEE Transactions on Systems, Man, and …, 2010 - infona.pl
Feature selection plays an important role in pattern recognition and machine learning.
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Selecting discrete and continuous features based on neighborhood decision error minimization.

Q Hu, W Pedrycz, D Yu, J Lang - … B, Cybernetics: a Publication of the …, 2009 - europepmc.org
Feature selection plays an important role in pattern recognition and machine learning.
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[引用][C] Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization

Q Hu, W Pedrycz, D Yu, J Lang - … Systems, Man, and Cybernetics, Part B …, 2010 - cir.nii.ac.jp
Selecting Discrete and Continuous Features Based on Neighborhood Decision Error
Minimization | 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 …
[PDF] psu.edu

[PDF][PDF] Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization

Q Hu, W Pedrycz, D Yu, J Lang - IEEE TRANSACTIONS ON SYSTEMS …, 2010 - Citeseer
Feature selection plays an important role in pattern recognition and machine learning.
Feature evaluation and classification complexity estimation arise as key issues in the …
[PDF] archive.org

[PDF][PDF] Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization

Q Hu, W Pedrycz, D Yu, J Lang - IEEE TRANSACTIONS ON …, 2010 - scholar.archive.org
Feature selection plays an important role in pattern recognition and machine learning.
Feature evaluation and classification complexity estimation arise as key issues in the …

Selecting discrete and continuous features based on neighborhood decision error minimization

Q Hu, W Pedrycz, D Yu, J Lang - … Systems, Man, and Cybernetics, Part B …, 2010 - dl.acm.org
Feature selection plays an important role in pattern recognition and machine learning.
Feature evaluation and classification complexity estimation arise as key issues in the …

Selecting discrete and continuous features based on neighborhood decision error minimization

Q Hu, W Pedrycz, D Yu, J Lang - IEEE transactions on …, 2010 - pubmed.ncbi.nlm.nih.gov
Feature selection plays an important role in pattern recognition and machine learning.
Feature evaluation and classification complexity estimation arise as key issues in the …
[PDF] academia.edu

[PDF][PDF] Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization

Q Hu, W Pedrycz, D Yu, J Lang - academia.edu
Feature selection plays an important role in pattern recognition and machine learning.
Feature evaluation and classification complexity estimation arise as key issues in the …
[PDF] archive.org

[PDF][PDF] Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization

Q Hu, W Pedrycz, D Yu, J Lang - scholar.archive.org
Feature selection plays an important role in pattern recognition and machine learning.
Feature evaluation and classification complexity estimation arise as key issues in the …