161 related articles for article (PubMed ID: 34199499)
1. Feature Selection Combining Information Theory View and Algebraic View in the Neighborhood Decision System.
Xu J; Qu K; Yuan M; Yang J
Entropy (Basel); 2021 Jun; 23(6):. PubMed ID: 34199499
[TBL] [Abstract][Full Text] [Related]
2. An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets.
Sun L; Zhang X; Xu J; Zhang S
Entropy (Basel); 2019 Feb; 21(2):. PubMed ID: 33266871
[TBL] [Abstract][Full Text] [Related]
3. A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures.
Sun L; Wang L; Xu J; Zhang S
Entropy (Basel); 2019 Feb; 21(2):. PubMed ID: 33266854
[TBL] [Abstract][Full Text] [Related]
4. Feature Genes Selection Using Fuzzy Rough Uncertainty Metric for Tumor Diagnosis.
Xu J; Wang Y; Xu K; Zhang T
Comput Math Methods Med; 2019; 2019():6705648. PubMed ID: 30809269
[TBL] [Abstract][Full Text] [Related]
5. Feature selection using mutual information based uncertainty measures for tumor classification.
Sun L; Xu J
Biomed Mater Eng; 2014; 24(1):763-70. PubMed ID: 24211962
[TBL] [Abstract][Full Text] [Related]
6. Feature selection based on neighborhood rough sets and Gini index.
Zhang Y; Nie B; Du J; Chen J; Du Y; Jin H; Zheng X; Chen X; Miao Z
PeerJ Comput Sci; 2023; 9():e1711. PubMed ID: 38192483
[TBL] [Abstract][Full Text] [Related]
7. Gene selection for tumor classification using neighborhood rough sets and entropy measures.
Chen Y; Zhang Z; Zheng J; Ma Y; Xue Y
J Biomed Inform; 2017 Mar; 67():59-68. PubMed ID: 28215562
[TBL] [Abstract][Full Text] [Related]
8. Feature Selection Based on Neighborhood Self-Information.
Wang C; Huang Y; Shao M; Hu Q; Chen D
IEEE Trans Cybern; 2020 Sep; 50(9):4031-4042. PubMed ID: 31295137
[TBL] [Abstract][Full Text] [Related]
9. A Fast Feature Selection Algorithm by Accelerating Computation of Fuzzy Rough Set-Based Information Entropy.
Zhang X; Liu X; Yang Y
Entropy (Basel); 2018 Oct; 20(10):. PubMed ID: 33265876
[TBL] [Abstract][Full Text] [Related]
10. Feature Selection Based on Neighborhood Discrimination Index.
Wang C; Hu Q; Wang X; Chen D; Qian Y; Dong Z
IEEE Trans Neural Netw Learn Syst; 2018 Jul; 29(7):2986-2999. PubMed ID: 28650830
[TBL] [Abstract][Full Text] [Related]
11. Rough set feature selection and rule induction for prediction of malignancy degree in brain glioma.
Wang X; Yang J; Jensen R; Liu X
Comput Methods Programs Biomed; 2006 Aug; 83(2):147-56. PubMed ID: 16893588
[TBL] [Abstract][Full Text] [Related]
12. Heterogeneous Feature Selection Based on Neighborhood Combination Entropy.
Zhang P; Li T; Yuan Z; Luo C; Liu K; Yang X
IEEE Trans Neural Netw Learn Syst; 2024 Mar; 35(3):3514-3527. PubMed ID: 35925855
[TBL] [Abstract][Full Text] [Related]
13. A Gene selection approach based on the fisher linear discriminant and the neighborhood rough set.
Sun L; Zhang X; Xu J; Wang W; Liu R
Bioengineered; 2018 Jan; 9(1):144-151. PubMed ID: 29161975
[TBL] [Abstract][Full Text] [Related]
14. Evolutionary sequential genetic search technique-based cancer classification using fuzzy rough nearest neighbour classifier.
Meenachi L; Ramakrishnan S
Healthc Technol Lett; 2018 Aug; 5(4):130-135. PubMed ID: 30155265
[TBL] [Abstract][Full Text] [Related]
15. Feature selection with neighborhood entropy-based cooperative game theory.
Zeng K; She K; Niu X
Comput Intell Neurosci; 2014; 2014():479289. PubMed ID: 25276120
[TBL] [Abstract][Full Text] [Related]
16. Selecting discrete and continuous features based on neighborhood decision error minimization.
Hu Q; Pedrycz W; Yu D; Lang J
IEEE Trans Syst Man Cybern B Cybern; 2010 Feb; 40(1):137-50. PubMed ID: 19622440
[TBL] [Abstract][Full Text] [Related]
17. Hyperspectral band selection based on a variable precision neighborhood rough set.
Liu Y; Xie H; Wang L; Tan K
Appl Opt; 2016 Jan; 55(3):462-72. PubMed ID: 26835918
[TBL] [Abstract][Full Text] [Related]
18. A Novel Feature Selection Method for High-Dimensional Mixed Decision Tables.
Thuy NN; Wongthanavasu S
IEEE Trans Neural Netw Learn Syst; 2022 Jul; 33(7):3024-3037. PubMed ID: 33449885
[TBL] [Abstract][Full Text] [Related]
19. Feature Selection Using Approximate Conditional Entropy Based on Fuzzy Information Granule for Gene Expression Data Classification.
Zhang H
Front Genet; 2021; 12():631505. PubMed ID: 33859666
[TBL] [Abstract][Full Text] [Related]
20. Gene Selection Integrated with Biological Knowledge for Plant Stress Response Using Neighborhood System and Rough Set Theory.
Meng J; Zhang J; Luan Y
IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(2):433-44. PubMed ID: 26357229
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]