These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
169 related articles for article (PubMed ID: 20172821)
1. Boosting through optimization of margin distributions. Shen C; Li H IEEE Trans Neural Netw; 2010 Apr; 21(4):659-66. PubMed ID: 20172821 [TBL] [Abstract][Full Text] [Related]
2. On the dual formulation of boosting algorithms. Shen C; Li H IEEE Trans Pattern Anal Mach Intell; 2010 Dec; 32(12):2216-31. PubMed ID: 20975119 [TBL] [Abstract][Full Text] [Related]
3. Fast and robust object detection using asymmetric totally corrective boosting. Wang P; Shen C; Barnes N; Zheng H IEEE Trans Neural Netw Learn Syst; 2012 Jan; 23(1):33-46. PubMed ID: 24808454 [TBL] [Abstract][Full Text] [Related]
4. 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]
6. 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]
7. RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners. Miao Q; Cao Y; Xia G; Gong M; Liu J; Song J IEEE Trans Neural Netw Learn Syst; 2016 Nov; 27(11):2216-2228. PubMed ID: 26415187 [TBL] [Abstract][Full Text] [Related]
8. Theory and algorithm for learning with dissimilarity functions. Wang L; Sugiyama M; Yang C; Hatano K; Feng J Neural Comput; 2009 May; 21(5):1459-84. PubMed ID: 19718819 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Fully corrective boosting with arbitrary loss and regularization. Shen C; Li H; van den Hengel A Neural Netw; 2013 Dec; 48():44-58. PubMed ID: 23917694 [TBL] [Abstract][Full Text] [Related]
14. Maximum margin Bayesian network classifiers. Pernkopf F; Wohlmayr M; Tschiatschek S IEEE Trans Pattern Anal Mach Intell; 2012 Mar; 34(3):521-32. PubMed ID: 21808086 [TBL] [Abstract][Full Text] [Related]
15. Direct Kernel Perceptron (DKP): ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation. Fernández-Delgado M; Cernadas E; Barro S; Ribeiro J; Neves J Neural Netw; 2014 Feb; 50():60-71. PubMed ID: 24287336 [TBL] [Abstract][Full Text] [Related]
16. Statistical mechanics of learning with soft margin classifiers. Risau-Gusman S; Gordon MB Phys Rev E Stat Nonlin Soft Matter Phys; 2001 Sep; 64(3 Pt 1):031907. PubMed ID: 11580367 [TBL] [Abstract][Full Text] [Related]
17. A scalable stagewise approach to large-margin multiclass loss-based boosting. Paisitkriangkrai S; Chunhua Shen ; van den Hengel A IEEE Trans Neural Netw Learn Syst; 2014 May; 25(5):1002-13. PubMed ID: 24808045 [TBL] [Abstract][Full Text] [Related]
18. 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]