535 related articles for article (PubMed ID: 23757515)
1. Dynamic extreme learning machine and its approximation capability.
Zhang R; Lan Y; Huang GB; Xu ZB; Soh YC
IEEE Trans Cybern; 2013 Dec; 43(6):2054-65. PubMed ID: 23757515
[TBL] [Abstract][Full Text] [Related]
2. Universal approximation of extreme learning machine with adaptive growth of hidden nodes.
Zhang R; Lan Y; Huang GB; Xu ZB
IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):365-71. PubMed ID: 24808516
[TBL] [Abstract][Full Text] [Related]
3. Error minimized extreme learning machine with growth of hidden nodes and incremental learning.
Feng G; Huang GB; Lin Q; Gay R
IEEE Trans Neural Netw; 2009 Aug; 20(8):1352-7. PubMed ID: 19596632
[TBL] [Abstract][Full Text] [Related]
4. An improvement of extreme learning machine for compact single-hidden-layer feedforward neural networks.
Huynh HT; Won Y; Kim JJ
Int J Neural Syst; 2008 Oct; 18(5):433-41. PubMed ID: 18991365
[TBL] [Abstract][Full Text] [Related]
5. Sparse Bayesian extreme learning machine for multi-classification.
Luo J; Vong CM; Wong PK
IEEE Trans Neural Netw Learn Syst; 2014 Apr; 25(4):836-43. PubMed ID: 24807961
[TBL] [Abstract][Full Text] [Related]
6. A novel multiple instance learning method based on extreme learning machine.
Wang J; Cai L; Peng J; Jia Y
Comput Intell Neurosci; 2015; 2015():405890. PubMed ID: 25705220
[TBL] [Abstract][Full Text] [Related]
7. Bidirectional extreme learning machine for regression problem and its learning effectiveness.
Yang Y; Wang Y; Yuan X
IEEE Trans Neural Netw Learn Syst; 2012 Sep; 23(9):1498-505. PubMed ID: 24807932
[TBL] [Abstract][Full Text] [Related]
8. A fast and accurate online sequential learning algorithm for feedforward networks.
Liang NY; Huang GB; Saratchandran P; Sundararajan N
IEEE Trans Neural Netw; 2006 Nov; 17(6):1411-23. PubMed ID: 17131657
[TBL] [Abstract][Full Text] [Related]
9. Is extreme learning machine feasible? A theoretical assessment (part I).
Liu X; Lin S; Fang J; Xu Z
IEEE Trans Neural Netw Learn Syst; 2015 Jan; 26(1):7-20. PubMed ID: 25069126
[TBL] [Abstract][Full Text] [Related]
10. Dynamic adjustment of hidden node parameters for extreme learning machine.
Feng G; Lan Y; Zhang X; Qian Z
IEEE Trans Cybern; 2015 Feb; 45(2):279-88. PubMed ID: 24919208
[TBL] [Abstract][Full Text] [Related]
11. Kernel map compression for speeding the execution of kernel-based methods.
Arif O; Vela PA
IEEE Trans Neural Netw; 2011 Jun; 22(6):870-9. PubMed ID: 21550884
[TBL] [Abstract][Full Text] [Related]
12. BELM: Bayesian extreme learning machine.
Soria-Olivas E; Gómez-Sanchis J; Martín JD; Vila-Francés J; Martínez M; Magdalena JR; Serrano AJ
IEEE Trans Neural Netw; 2011 Mar; 22(3):505-9. PubMed ID: 21257373
[TBL] [Abstract][Full Text] [Related]
13. Semi-supervised and unsupervised extreme learning machines.
Huang G; Song S; Gupta JN; Wu C
IEEE Trans Cybern; 2014 Dec; 44(12):2405-17. PubMed ID: 25415946
[TBL] [Abstract][Full Text] [Related]
14. Is extreme learning machine feasible? A theoretical assessment (part II).
Lin S; Liu X; Fang J; Xu Z
IEEE Trans Neural Netw Learn Syst; 2015 Jan; 26(1):21-34. PubMed ID: 25069128
[TBL] [Abstract][Full Text] [Related]
15. Neural architecture design based on extreme learning machine.
Bueno-Crespo A; García-Laencina PJ; Sancho-Gómez JL
Neural Netw; 2013 Dec; 48():19-24. PubMed ID: 23892908
[TBL] [Abstract][Full Text] [Related]
16. [Drug discrimination by near infrared spectroscopy based on summation wavelet extreme learning machine].
Liu ZB; Jiang SJ; Yang HH; Zhang XB
Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Oct; 34(10):2815-20. PubMed ID: 25739231
[TBL] [Abstract][Full Text] [Related]
17. A comparative analysis of support vector machines and extreme learning machines.
Liu X; Gao C; Li P
Neural Netw; 2012 Sep; 33():58-66. PubMed ID: 22572469
[TBL] [Abstract][Full Text] [Related]
18. Extreme learning machine for regression and multiclass classification.
Huang GB; Zhou H; Ding X; Zhang R
IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):513-29. PubMed ID: 21984515
[TBL] [Abstract][Full Text] [Related]
19. Iterative least squares functional networks classifier.
El-Sebakhy EA; Hadi AS; Faisal KA
IEEE Trans Neural Netw; 2007 May; 18(3):844-50. PubMed ID: 17526349
[TBL] [Abstract][Full Text] [Related]
20. Hidden space support vector machines.
Zhang L; Zhou W; Jiao L
IEEE Trans Neural Netw; 2004 Nov; 15(6):1424-34. PubMed ID: 15565770
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]