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.
115 related articles for article (PubMed ID: 29994160)
1. Efficient Cluster-Based Boosting for Semisupervised Classification. Soares RGF; Chen H; Yao X IEEE Trans Neural Netw Learn Syst; 2018 Nov; 29(11):5667-5680. PubMed ID: 29994160 [TBL] [Abstract][Full Text] [Related]
2. Semisupervised classification with cluster regularization. Soares RG; Chen H; Yao X IEEE Trans Neural Netw Learn Syst; 2012 Nov; 23(11):1779-92. PubMed ID: 24808072 [TBL] [Abstract][Full Text] [Related]
3. Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study. Ortigosa-Hernandez J; Inza I; Lozano JA IEEE Trans Neural Netw Learn Syst; 2016 Dec; 27(12):2602-2614. PubMed ID: 26625427 [TBL] [Abstract][Full Text] [Related]
4. The ensemble bridge algorithm: a new modeling tool for drug discovery problems. Culp M; Johnson K; Michailidis G J Chem Inf Model; 2010 Feb; 50(2):309-16. PubMed ID: 20121044 [TBL] [Abstract][Full Text] [Related]
5. Enhancement of ELM by Clustering Discrimination Manifold Regularization and Multiobjective FOA for Semisupervised Classification. Ye Q; Pan H; Liu C Comput Intell Neurosci; 2015; 2015():731494. PubMed ID: 26180525 [TBL] [Abstract][Full Text] [Related]
6. Random forest construction with robust semisupervised node splitting. Liu X; Song M; Tao D; Liu Z; Zhang L; Chen C; Bu J IEEE Trans Image Process; 2015 Jan; 24(1):471-83. PubMed ID: 25494503 [TBL] [Abstract][Full Text] [Related]
7. Large-Scale Robust Semisupervised Classification. Zhang L; Luo M; Li Z; Nie F; Zhang H; Liu J; Zheng Q IEEE Trans Cybern; 2019 Mar; 49(3):907-917. PubMed ID: 29994188 [TBL] [Abstract][Full Text] [Related]
8. Semisupervised Negative Correlation Learning. Chen H; Jiang B; Yao X IEEE Trans Neural Netw Learn Syst; 2018 Nov; 29(11):5366-5379. PubMed ID: 29994737 [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. Active learning for solving the incomplete data problem in facial age classification by the furthest nearest-neighbor criterion. Wang JG; Sung E; Yau WY IEEE Trans Image Process; 2011 Jul; 20(7):2049-62. PubMed ID: 21245008 [TBL] [Abstract][Full Text] [Related]
11. Graph-based semisupervised learning. Culp M; Michailidis G IEEE Trans Pattern Anal Mach Intell; 2008 Jan; 30(1):174-9. PubMed ID: 18000333 [TBL] [Abstract][Full Text] [Related]
12. Scaling up graph-based semisupervised learning via prototype vector machines. Zhang K; Lan L; Kwok JT; Vucetic S; Parvin B IEEE Trans Neural Netw Learn Syst; 2015 Mar; 26(3):444-57. PubMed ID: 25720002 [TBL] [Abstract][Full Text] [Related]
13. Semisupervised, Multilabel, Multi-Instance Learning for Structured Data. Soleimani H; Miller DJ Neural Comput; 2017 Apr; 29(4):1053-1102. PubMed ID: 28095193 [TBL] [Abstract][Full Text] [Related]
14. A Simple Label Switching Algorithm for Semisupervised Structural SVMs. Balamurugan P; Shevade S; Sundararajan S Neural Comput; 2015 Oct; 27(10):2183-206. PubMed ID: 26313606 [TBL] [Abstract][Full Text] [Related]
15. Progressive Semisupervised Learning of Multiple Classifiers. Yu Z; Lu Y; Zhang J; You J; Wong HS; Wang Y; Han G IEEE Trans Cybern; 2018 Feb; 48(2):689-702. PubMed ID: 28113355 [TBL] [Abstract][Full Text] [Related]
16. On Efficient Large Margin Semisupervised Learning: Method and Theory. Wang J; Shen X; Pan W J Mach Learn Res; 2009 Mar; 10():719-742. PubMed ID: 24678270 [TBL] [Abstract][Full Text] [Related]
17. Solution path for manifold regularized semisupervised classification. Wang G; Wang F; Chen T; Yeung DY; Lochovsky FH IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):308-19. PubMed ID: 22010154 [TBL] [Abstract][Full Text] [Related]
18. Laplacian Welsch Regularization for Robust Semisupervised Learning. Ke J; Gong C; Liu T; Zhao L; Yang J; Tao D IEEE Trans Cybern; 2022 Jan; 52(1):164-177. PubMed ID: 32149703 [TBL] [Abstract][Full Text] [Related]
19. Constructing ensembles of classifiers by means of weighted instance selection. GarcĂa-Pedrajas N IEEE Trans Neural Netw; 2009 Feb; 20(2):258-77. PubMed ID: 19179252 [TBL] [Abstract][Full Text] [Related]
20. Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data. Gu B; Zhai Z; Deng C; Huang H IEEE Trans Neural Netw Learn Syst; 2021 Sep; 32(9):4111-4122. PubMed ID: 32845848 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]