Selecting discrete and continuous features based on neighborhood decision error minimization
Feature selection plays an important role in pattern recognition and machine learning.
Feature evaluation and classification complexity estimation arise as key issues in the …
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 Systems, Man, and …, 2010 - infona.pl
Feature selection plays an important role in pattern recognition and machine learning.
Feature evaluation and classification complexity estimation arise as key issues in the …
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 - … B, Cybernetics: a Publication of the …, 2009 - europepmc.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 …
Feature evaluation and classification complexity estimation arise as key issues in the …
[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 …
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][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 …
Feature evaluation and classification complexity estimation arise as key issues in the …
[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 …
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 …
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 …
Feature evaluation and classification complexity estimation arise as key issues in the …
[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 …
Feature evaluation and classification complexity estimation arise as key issues in the …
[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 …
Feature evaluation and classification complexity estimation arise as key issues in the …