407 related articles for article (PubMed ID: 23391783)
21. Feature-selected tree-based classification.
Freeman C; Kuli D; Basir O
IEEE Trans Cybern; 2013 Dec; 43(6):1990-2004. PubMed ID: 23757587
[TBL] [Abstract][Full Text] [Related]
22. Control chart pattern recognition using K-MICA clustering and neural networks.
Ebrahimzadeh A; Addeh J; Rahmani Z
ISA Trans; 2012 Jan; 51(1):111-9. PubMed ID: 22035774
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Feature selection with kernel class separability.
Wang L
IEEE Trans Pattern Anal Mach Intell; 2008 Sep; 30(9):1534-46. PubMed ID: 18617713
[TBL] [Abstract][Full Text] [Related]
25. Feature subset selection using constrained binary/integer biogeography-based optimization.
Yazdani S; Shanbehzadeh J; Aminian E
ISA Trans; 2013 May; 52(3):383-90. PubMed ID: 23465960
[TBL] [Abstract][Full Text] [Related]
26. Learning vector quantization with training data selection.
Pedreira CE
IEEE Trans Pattern Anal Mach Intell; 2006 Jan; 28(1):157-62. PubMed ID: 16402629
[TBL] [Abstract][Full Text] [Related]
27. Sparse multiple kernel learning for signal processing applications.
Subrahmanya N; Shin YC
IEEE Trans Pattern Anal Mach Intell; 2010 May; 32(5):788-98. PubMed ID: 20299705
[TBL] [Abstract][Full Text] [Related]
28. The nearest neighbor algorithm of local probability centers.
Li B; Chen YW; Chen YQ
IEEE Trans Syst Man Cybern B Cybern; 2008 Feb; 38(1):141-54. PubMed ID: 18270088
[TBL] [Abstract][Full Text] [Related]
29. Classification and knowledge discovery in protein databases.
Radivojac P; Chawla NV; Dunker AK; Obradovic Z
J Biomed Inform; 2004 Aug; 37(4):224-39. PubMed ID: 15465476
[TBL] [Abstract][Full Text] [Related]
30. Logistic regression by means of evolutionary radial basis function neural networks.
Gutierrez PA; Hervas-Martinez C; Martinez-Estudillo FJ
IEEE Trans Neural Netw; 2011 Feb; 22(2):246-63. PubMed ID: 21138802
[TBL] [Abstract][Full Text] [Related]
31. Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach.
Yang J; Singh H; Hines EL; Schlaghecken F; Iliescu DD; Leeson MS; Stocks NG
Artif Intell Med; 2012 Jun; 55(2):117-26. PubMed ID: 22503644
[TBL] [Abstract][Full Text] [Related]
32. The learning vector quantization algorithm applied to automatic text classification tasks.
Martín-Valdivia MT; Ureña-López LA; García-Vega M
Neural Netw; 2007 Aug; 20(6):748-56. PubMed ID: 17368839
[TBL] [Abstract][Full Text] [Related]
33. The nearest subclass classifier: a compromise between the nearest mean and nearest neighbor classifier.
Veenman CJ; Reinders MJ
IEEE Trans Pattern Anal Mach Intell; 2005 Sep; 27(9):1417-29. PubMed ID: 16173185
[TBL] [Abstract][Full Text] [Related]
34. Complex extreme learning machine applications in terahertz pulsed signals feature sets.
Yin XX; Hadjiloucas S; Zhang Y
Comput Methods Programs Biomed; 2014 Nov; 117(2):387-403. PubMed ID: 25037827
[TBL] [Abstract][Full Text] [Related]
35. The maximum vector-angular margin classifier and its fast training on large datasets using a core vector machine.
Hu W; Chung FL; Wang S
Neural Netw; 2012 Mar; 27():60-73. PubMed ID: 22057092
[TBL] [Abstract][Full Text] [Related]
36. Deep learning regularized Fisher mappings.
Wong WK; Sun M
IEEE Trans Neural Netw; 2011 Oct; 22(10):1668-75. PubMed ID: 21843987
[TBL] [Abstract][Full Text] [Related]
37. Fast bundle algorithm for multiple-instance learning.
Bergeron C; Moore G; Zaretzki J; Breneman CM; Bennett KP
IEEE Trans Pattern Anal Mach Intell; 2012 Jun; 34(6):1068-79. PubMed ID: 21987558
[TBL] [Abstract][Full Text] [Related]
38. Hybrid genetic algorithm-neural network: feature extraction for unpreprocessed microarray data.
Tong DL; Schierz AC
Artif Intell Med; 2011 Sep; 53(1):47-56. PubMed ID: 21775110
[TBL] [Abstract][Full Text] [Related]
39. Joint embedding learning and sparse regression: a framework for unsupervised feature selection.
Hou C; Nie F; Li X; Yi D; Wu Y
IEEE Trans Cybern; 2014 Jun; 44(6):793-804. PubMed ID: 23893760
[TBL] [Abstract][Full Text] [Related]
40. The linear separability problem: some testing methods.
Elizondo D
IEEE Trans Neural Netw; 2006 Mar; 17(2):330-44. PubMed ID: 16566462
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]