303 related articles for article (PubMed ID: 18558541)
1. Bagging and boosting negatively correlated neural networks.
Islam MM; Yao X; Shahriar Nirjon SM; Islam MA; Murase K
IEEE Trans Syst Man Cybern B Cybern; 2008 Jun; 38(3):771-84. PubMed ID: 18558541
[TBL] [Abstract][Full Text] [Related]
2. A constructive algorithm for training cooperative neural network ensembles.
Islam MM; Yao X; Murase K
IEEE Trans Neural Netw; 2003; 14(4):820-34. PubMed ID: 18238062
[TBL] [Abstract][Full Text] [Related]
3. A new adaptive merging and growing algorithm for designing artificial neural networks.
Islam MM; Sattar MA; Amin MF; Yao X; Murase K
IEEE Trans Syst Man Cybern B Cybern; 2009 Jun; 39(3):705-22. PubMed ID: 19203888
[TBL] [Abstract][Full Text] [Related]
4. A new constructive algorithm for architectural and functional adaptation of artificial neural networks.
Islam MM; Sattar MA; Amin MF; Yao X; Murase K
IEEE Trans Syst Man Cybern B Cybern; 2009 Dec; 39(6):1590-605. PubMed ID: 19502131
[TBL] [Abstract][Full Text] [Related]
5. New training strategies for constructive neural networks with application to regression problems.
Ma L; Khorasani K
Neural Netw; 2004 May; 17(4):589-609. PubMed ID: 15109686
[TBL] [Abstract][Full Text] [Related]
6. Simultaneous training of negatively correlated neural networks in an ensemble.
Liu Y; Yao X
IEEE Trans Syst Man Cybern B Cybern; 1999; 29(6):716-25. PubMed ID: 18252352
[TBL] [Abstract][Full Text] [Related]
7. Experiments with AdaBoost.RT, an improved boosting scheme for regression.
Shrestha DL; Solomatine DP
Neural Comput; 2006 Jul; 18(7):1678-710. PubMed ID: 16764518
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. SemiBoost: boosting for semi-supervised learning.
Mallapragada PK; Jin R; Jain AK; Liu Y
IEEE Trans Pattern Anal Mach Intell; 2009 Nov; 31(11):2000-14. PubMed ID: 19762927
[TBL] [Abstract][Full Text] [Related]
10. Statistical instance-based pruning in ensembles of independent classifiers.
Hernández-Lobato D; Martínez-Muñoz G; Suárez A
IEEE Trans Pattern Anal Mach Intell; 2009 Feb; 31(2):364-9. PubMed ID: 19110500
[TBL] [Abstract][Full Text] [Related]
11. Machine learning approach to color constancy.
Agarwal V; Gribok AV; Abidi MA
Neural Netw; 2007 Jul; 20(5):559-63. PubMed ID: 17624727
[TBL] [Abstract][Full Text] [Related]
12. An analysis of ensemble pruning techniques based on ordered aggregation.
Martínez-Muñoz G; Hernández-Lobato D; Suárez A
IEEE Trans Pattern Anal Mach Intell; 2009 Feb; 31(2):245-59. PubMed ID: 19110491
[TBL] [Abstract][Full Text] [Related]
13. Robust boosting algorithm against mislabeling in multiclass problems.
Takenouchi T; Eguchi S; Murata N; Kanamori T
Neural Comput; 2008 Jun; 20(6):1596-630. PubMed ID: 18194110
[TBL] [Abstract][Full Text] [Related]
14. BgN-Score and BsN-Score: bagging and boosting based ensemble neural networks scoring functions for accurate binding affinity prediction of protein-ligand complexes.
Ashtawy HM; Mahapatra NR
BMC Bioinformatics; 2015; 16 Suppl 4(Suppl 4):S8. PubMed ID: 25734685
[TBL] [Abstract][Full Text] [Related]
15. Online filtering of CO2 signals from a bioreactor gas outflow using a committee of constructive neural networks.
Giordano RC; Bertini JR; Nicoletti MC; Giordano RL
Bioprocess Biosyst Eng; 2008 Feb; 31(2):101-9. PubMed ID: 17805580
[TBL] [Abstract][Full Text] [Related]
16. Ensemble algorithms in reinforcement learning.
Wiering MA; van Hasselt H
IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):930-6. PubMed ID: 18632380
[TBL] [Abstract][Full Text] [Related]
17. Optimized approximation algorithm in neural networks without overfitting.
Liu Y; Starzyk JA; Zhu Z
IEEE Trans Neural Netw; 2008 Jun; 19(6):983-95. PubMed ID: 18541499
[TBL] [Abstract][Full Text] [Related]
18. Reducing uncertainties in neural network Jacobians and improving accuracy of neural network emulations with NN ensemble approaches.
Krasnopolsky VM
Neural Netw; 2007 May; 20(4):454-61. PubMed ID: 17521879
[TBL] [Abstract][Full Text] [Related]
19. A learning algorithm for adaptive canonical correlation analysis of several data sets.
Vía J; Santamaría I; Pérez J
Neural Netw; 2007 Jan; 20(1):139-52. PubMed ID: 17113263
[TBL] [Abstract][Full Text] [Related]
20. Multiobjective hybrid optimization and training of recurrent neural networks.
Delgado M; Cuéllar MP; Pegalajar MC
IEEE Trans Syst Man Cybern B Cybern; 2008 Apr; 38(2):381-403. PubMed ID: 18348922
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]