455 related articles for article (PubMed ID: 22188722)
1. A classifier ensemble approach for the missing feature problem.
Nanni L; Lumini A; Brahnam S
Artif Intell Med; 2012 May; 55(1):37-50. PubMed ID: 22188722
[TBL] [Abstract][Full Text] [Related]
2. Handling missing values in support vector machine classifiers.
Pelckmans K; De Brabanter J; Suykens JA; De Moor B
Neural Netw; 2005; 18(5-6):684-92. PubMed ID: 16111866
[TBL] [Abstract][Full Text] [Related]
3. Wavelet images and Chou's pseudo amino acid composition for protein classification.
Nanni L; Brahnam S; Lumini A
Amino Acids; 2012 Aug; 43(2):657-65. PubMed ID: 21993538
[TBL] [Abstract][Full Text] [Related]
4. Rotation forest: A new classifier ensemble method.
Rodríguez JJ; Kuncheva LI; Alonso CJ
IEEE Trans Pattern Anal Mach Intell; 2006 Oct; 28(10):1619-30. PubMed ID: 16986543
[TBL] [Abstract][Full Text] [Related]
5. Robust imputation method for missing values in microarray data.
Yoon D; Lee EK; Park T
BMC Bioinformatics; 2007 May; 8 Suppl 2(Suppl 2):S6. PubMed ID: 17493255
[TBL] [Abstract][Full Text] [Related]
6. Recovering the missing components in a large noisy low-rank matrix: application to SFM.
Chen P; Suter D
IEEE Trans Pattern Anal Mach Intell; 2004 Aug; 26(8):1051-63. PubMed ID: 15641734
[TBL] [Abstract][Full Text] [Related]
7. LESS: a model-based classifier for sparse subspaces.
Veenman CJ; Tax DM
IEEE Trans Pattern Anal Mach Intell; 2005 Sep; 27(9):1496-500. PubMed ID: 16173192
[TBL] [Abstract][Full Text] [Related]
8. Towards clustering of incomplete microarray data without the use of imputation.
Kim DW; Lee KY; Lee KH; Lee D
Bioinformatics; 2007 Jan; 23(1):107-13. PubMed ID: 17077099
[TBL] [Abstract][Full Text] [Related]
9. Bias in error estimation when using cross-validation for model selection.
Varma S; Simon R
BMC Bioinformatics; 2006 Feb; 7():91. PubMed ID: 16504092
[TBL] [Abstract][Full Text] [Related]
10. Random subspace ensembles for FMRI classification.
Kuncheva LI; Rodriguez JJ; Plumpton CO; Linden DE; Johnston SJ
IEEE Trans Med Imaging; 2010 Feb; 29(2):531-42. PubMed ID: 20129853
[TBL] [Abstract][Full Text] [Related]
11. DNA microarray data imputation and significance analysis of differential expression.
Jörnsten R; Wang HY; Welsh WJ; Ouyang M
Bioinformatics; 2005 Nov; 21(22):4155-61. PubMed ID: 16118262
[TBL] [Abstract][Full Text] [Related]
12. A multi-stage approach to clustering and imputation of gene expression profiles.
Wong DS; Wong FK; Wood GR
Bioinformatics; 2007 Apr; 23(8):998-1005. PubMed ID: 17308340
[TBL] [Abstract][Full Text] [Related]
13. Fuzzy ensemble clustering based on random projections for DNA microarray data analysis.
Avogadri R; Valentini G
Artif Intell Med; 2009; 45(2-3):173-83. PubMed ID: 18801650
[TBL] [Abstract][Full Text] [Related]
14. Sequential imputation for missing values.
Verboven S; Branden KV; Goos P
Comput Biol Chem; 2007 Oct; 31(5-6):320-7. PubMed ID: 17920334
[TBL] [Abstract][Full Text] [Related]
15. Mixture classification model based on clinical markers for breast cancer prognosis.
Zeng T; Liu J
Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
[TBL] [Abstract][Full Text] [Related]
16. The application of mutual information-based feature selection and fuzzy LS-SVM-based classifier in motion classification.
Yan Z; Wang Z; Xie H
Comput Methods Programs Biomed; 2008 Jun; 90(3):275-84. PubMed ID: 18295367
[TBL] [Abstract][Full Text] [Related]
17. Learning weighted metrics to minimize nearest-neighbor classification error.
Paredes R; Vidal E
IEEE Trans Pattern Anal Mach Intell; 2006 Jul; 28(7):1100-10. PubMed ID: 16792099
[TBL] [Abstract][Full Text] [Related]
18. Collateral missing value imputation: a new robust missing value estimation algorithm for microarray data.
Sehgal MS; Gondal I; Dooley LS
Bioinformatics; 2005 May; 21(10):2417-23. PubMed ID: 15731210
[TBL] [Abstract][Full Text] [Related]
19. Boosting random subspace method.
García-Pedrajas N; Ortiz-Boyer D
Neural Netw; 2008 Nov; 21(9):1344-62. PubMed ID: 18272334
[TBL] [Abstract][Full Text] [Related]
20. Semisupervised learning for a hybrid generative/discriminative classifier based on the maximum entropy principle.
Fujino A; Ueda N; Saito K
IEEE Trans Pattern Anal Mach Intell; 2008 Mar; 30(3):424-37. PubMed ID: 18195437
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]