234 related articles for article (PubMed ID: 18701371)
1. The Q-norm complexity measure and the minimum gradient method: a novel approach to the machine learning structural risk minimization problem.
Vieira DA; Takahashi RH; Palade V; Vasconcelos JA; Caminhas WM
IEEE Trans Neural Netw; 2008 Aug; 19(8):1415-30. PubMed ID: 18701371
[TBL] [Abstract][Full Text] [Related]
2. Novel maximum-margin training algorithms for supervised neural networks.
Ludwig O; Nunes U
IEEE Trans Neural Netw; 2010 Jun; 21(6):972-84. PubMed ID: 20409990
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Study of a fast discriminative training algorithm for pattern recognition.
Li Q; Juang BH
IEEE Trans Neural Netw; 2006 Sep; 17(5):1212-21. PubMed ID: 17001982
[TBL] [Abstract][Full Text] [Related]
5. Convergence of gradient method with momentum for two-layer feedforward neural networks.
Zhang N; Wu W; Zheng G
IEEE Trans Neural Netw; 2006 Mar; 17(2):522-5. PubMed ID: 16566479
[TBL] [Abstract][Full Text] [Related]
6. Boosted ARTMAP: modifications to fuzzy ARTMAP motivated by boosting theory.
Verzi SJ; Heileman GL; Georgiopoulos M
Neural Netw; 2006 May; 19(4):446-68. PubMed ID: 16343845
[TBL] [Abstract][Full Text] [Related]
7. Deterministic learning and rapid dynamical pattern recognition.
Wang C; Hill DJ
IEEE Trans Neural Netw; 2007 May; 18(3):617-30. PubMed ID: 17526331
[TBL] [Abstract][Full Text] [Related]
8. Training Lp norm multiple kernel learning in the primal.
Liang Z; Xia S; Zhou Y; Zhang L
Neural Netw; 2013 Oct; 46():172-82. PubMed ID: 23770740
[TBL] [Abstract][Full Text] [Related]
9. A novel recurrent neural network for solving nonlinear optimization problems with inequality constraints.
Xia Y; Feng G; Wang J
IEEE Trans Neural Netw; 2008 Aug; 19(8):1340-53. PubMed ID: 18701366
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. A kernel approach for semisupervised metric learning.
Yeung DY; Chang H
IEEE Trans Neural Netw; 2007 Jan; 18(1):141-9. PubMed ID: 17278468
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Reduced HyperBF networks: regularization by explicit complexity reduction and scaled Rprop-based training.
Mahdi RN; Rouchka EC
IEEE Trans Neural Netw; 2011 May; 22(5):673-86. PubMed ID: 21421438
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. A convex approach to validation-based learning of the regularization constant.
Pelckmans K; Suykens JA; De Moor B
IEEE Trans Neural Netw; 2007 May; 18(3):917-20. PubMed ID: 17526357
[TBL] [Abstract][Full Text] [Related]
16. Human gait recognition via deterministic learning.
Zeng W; Wang C
Neural Netw; 2012 Nov; 35():92-102. PubMed ID: 22982093
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. The Rosenblatt Bayesian algorithm learning in a nonstationary environment.
de Oliveira EA
IEEE Trans Neural Netw; 2007 Mar; 18(2):584-8. PubMed ID: 17385642
[TBL] [Abstract][Full Text] [Related]
19. The S(2)-Ensemble Fusion Algorithm.
Baruque B; Corchado E; Yin H
Int J Neural Syst; 2011 Dec; 21(6):505-25. PubMed ID: 22131302
[TBL] [Abstract][Full Text] [Related]
20. Support vector echo-state machine for chaotic time-series prediction.
Shi Z; Han M
IEEE Trans Neural Netw; 2007 Mar; 18(2):359-72. PubMed ID: 17385625
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
