149 related articles for article (PubMed ID: 18244416)
1. Input feature selection for classification problems.
Kwak N; Choi CH
IEEE Trans Neural Netw; 2002; 13(1):143-59. PubMed ID: 18244416
[TBL] [Abstract][Full Text] [Related]
2. Neural-network feature selector.
Setiono R; Liu H
IEEE Trans Neural Netw; 1997; 8(3):654-62. PubMed ID: 18255668
[TBL] [Abstract][Full Text] [Related]
3. Conditional mutual information-based feature selection for congestive heart failure recognition using heart rate variability.
Yu SN; Lee MY
Comput Methods Programs Biomed; 2012 Oct; 108(1):299-309. PubMed ID: 22261219
[TBL] [Abstract][Full Text] [Related]
4. Particle swarm optimization for feature selection in classification: a multi-objective approach.
Xue B; Zhang M; Browne WN
IEEE Trans Cybern; 2013 Dec; 43(6):1656-71. PubMed ID: 24273143
[TBL] [Abstract][Full Text] [Related]
5. A scalable memetic algorithm for simultaneous instance and feature selection.
García-Pedrajas N; de Haro-García A; Pérez-Rodríguez J
Evol Comput; 2014; 22(1):1-45. PubMed ID: 23544367
[TBL] [Abstract][Full Text] [Related]
6. R-Ensembler: A greedy rough set based ensemble attribute selection algorithm with kNN imputation for classification of medical data.
Bania RK; Halder A
Comput Methods Programs Biomed; 2020 Feb; 184():105122. PubMed ID: 31622857
[TBL] [Abstract][Full Text] [Related]
7. Normalized mutual information feature selection.
Estévez PA; Tesmer M; Perez CA; Zurada JM
IEEE Trans Neural Netw; 2009 Feb; 20(2):189-201. PubMed ID: 19150792
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Relevant, irredundant feature selection and noisy example elimination.
Lashkia GV; Anthony L
IEEE Trans Syst Man Cybern B Cybern; 2004 Apr; 34(2):888-97. PubMed ID: 15376837
[TBL] [Abstract][Full Text] [Related]
10. A novel feature selection approach for biomedical data classification.
Peng Y; Wu Z; Jiang J
J Biomed Inform; 2010 Feb; 43(1):15-23. PubMed ID: 19647098
[TBL] [Abstract][Full Text] [Related]
11. Feature selection based on dependency margin.
Liu Y; Tang F; Zeng Z
IEEE Trans Cybern; 2015 Jun; 45(6):1209-21. PubMed ID: 25265639
[TBL] [Abstract][Full Text] [Related]
12. A hybrid feature selection method for DNA microarray data.
Chuang LY; Yang CH; Wu KC; Yang CH
Comput Biol Med; 2011 Apr; 41(4):228-37. PubMed ID: 21376310
[TBL] [Abstract][Full Text] [Related]
13. Feature Selection by Hybrid Brain Storm Optimization Algorithm for COVID-19 Classification.
Bezdan T; Zivkovic M; Bacanin N; Chhabra A; Suresh M
J Comput Biol; 2022 Jun; 29(6):515-529. PubMed ID: 35446145
[TBL] [Abstract][Full Text] [Related]
14. Data classification with radial basis function networks based on a novel kernel density estimation algorithm.
Oyang YJ; Hwang SC; Ou YY; Chen CY; Chen ZW
IEEE Trans Neural Netw; 2005 Jan; 16(1):225-36. PubMed ID: 15732402
[TBL] [Abstract][Full Text] [Related]
15. Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classification.
Alshamlan HM; Badr GH; Alohali YA
Comput Biol Chem; 2015 Jun; 56():49-60. PubMed ID: 25880524
[TBL] [Abstract][Full Text] [Related]
16. Methods for pattern selection, class-specific feature selection and classification for automated learning.
Roy A; Mackin PD; Mukhopadhyay S
Neural Netw; 2013 May; 41():113-29. PubMed ID: 23391783
[TBL] [Abstract][Full Text] [Related]
17. Attribute clustering for grouping, selection, and classification of gene expression data.
Au WH; Chan KC; Wong AK; Wang Y
IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(2):83-101. PubMed ID: 17044174
[TBL] [Abstract][Full Text] [Related]
18. Building Highly Reliable Quantitative Structure-Activity Relationship Classification Models Using the Rivality Index Neighborhood Algorithm with Feature Selection.
Ruiz IL; Gómez-Nieto MÁ
J Chem Inf Model; 2020 Jan; 60(1):133-151. PubMed ID: 31940204
[TBL] [Abstract][Full Text] [Related]
19. Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms.
Jagdhuber R; Lang M; Stenzl A; Neuhaus J; Rahnenführer J
BMC Bioinformatics; 2020 Jan; 21(1):26. PubMed ID: 31992203
[TBL] [Abstract][Full Text] [Related]
20. A novel hybrid filter/wrapper method for feature selection in archaeological ceramics classification by laser-induced breakdown spectroscopy.
Ruan F; Hou L; Zhang T; Li H
Analyst; 2021 Feb; 146(3):1023-1031. PubMed ID: 33300506
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]