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.
154 related articles for article (PubMed ID: 29994427)
1. F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation. Wu X; Zuo W; Lin L; Jia W; Zhang D IEEE Trans Neural Netw Learn Syst; 2018 Nov; 29(11):5185-5199. PubMed ID: 29994427 [TBL] [Abstract][Full Text] [Related]
2. Deep neural mapping support vector machines. Li Y; Zhang T Neural Netw; 2017 Sep; 93():185-194. PubMed ID: 28646763 [TBL] [Abstract][Full Text] [Related]
3. Multiview Privileged Support Vector Machines. Tang J; Tian Y; Zhang P; Liu X IEEE Trans Neural Netw Learn Syst; 2018 Aug; 29(8):3463-3477. PubMed ID: 28809717 [TBL] [Abstract][Full Text] [Related]
4. An Efficient Approach to Integrating Radius Information into Multiple Kernel Learning. Liu X; Wang L; Yin J; Zhu E; Zhang J IEEE Trans Cybern; 2013 Apr; 43(2):557-69. PubMed ID: 23014757 [TBL] [Abstract][Full Text] [Related]
5. Linear Maximum Margin Classifier for Learning from Uncertain Data. Tzelepis C; Mezaris V; Patras I IEEE Trans Pattern Anal Mach Intell; 2018 Dec; 40(12):2948-2962. PubMed ID: 29990153 [TBL] [Abstract][Full Text] [Related]
6. Combination of minimum enclosing balls classifier with SVM in coal-rock recognition. Song Q; Jiang H; Song Q; Zhao X; Wu X PLoS One; 2017; 12(9):e0184834. PubMed ID: 28937987 [TBL] [Abstract][Full Text] [Related]
7. Margin-maximizing feature elimination methods for linear and nonlinear kernel-based discriminant functions. Aksu Y; Miller DJ; Kesidis G; Yang QX IEEE Trans Neural Netw; 2010 May; 21(5):701-17. PubMed ID: 20194055 [TBL] [Abstract][Full Text] [Related]
8. Maximum margin semi-supervised learning with irrelevant data. Yang H; Huang K; King I; Lyu MR Neural Netw; 2015 Oct; 70():90-102. PubMed ID: 26264172 [TBL] [Abstract][Full Text] [Related]
9. Deep Max-Margin Discriminant Projection. Zhang H; Chen B; Wang Z; Liu H IEEE Trans Cybern; 2019 Jul; 49(7):2454-2466. PubMed ID: 29993594 [TBL] [Abstract][Full Text] [Related]
10. A Convex Model for Support Vector Distance Metric Learning. Ruan Y; Xiao Y; Hao Z; Liu B IEEE Trans Neural Netw Learn Syst; 2022 Aug; 33(8):3533-3546. PubMed ID: 33534716 [TBL] [Abstract][Full Text] [Related]
11. 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]
13. Building sparse multiple-kernel SVM classifiers. Hu M; Chen Y; Kwok JT IEEE Trans Neural Netw; 2009 May; 20(5):827-39. PubMed ID: 19342346 [TBL] [Abstract][Full Text] [Related]
14. Cancer survival classification using integrated data sets and intermediate information. Kim S; Park T; Kon M Artif Intell Med; 2014 Sep; 62(1):23-31. PubMed ID: 24997860 [TBL] [Abstract][Full Text] [Related]
15. Probabilistic classification vector machines. Chen H; Tino P; Yao X IEEE Trans Neural Netw; 2009 Jun; 20(6):901-14. PubMed ID: 19398403 [TBL] [Abstract][Full Text] [Related]
16. Vicinal support vector classifier using supervised kernel-based clustering. Yang X; Cao A; Song Q; Schaefer G; Su Y Artif Intell Med; 2014 Mar; 60(3):189-96. PubMed ID: 24637294 [TBL] [Abstract][Full Text] [Related]
17. Radius margin bounds for support vector machines with the RBF kernel. Chung KM; Kao WC; Sun CL; Wang LL; Lin CJ Neural Comput; 2003 Nov; 15(11):2643-81. PubMed ID: 14577857 [TBL] [Abstract][Full Text] [Related]
18. Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Images. Zhang H; Guo L; Wang J; Ying S; Shi J IEEE J Biomed Health Inform; 2023 Jan; PP():. PubMed ID: 37018255 [TBL] [Abstract][Full Text] [Related]
19. Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis. Van Gestel T; Suykens JA; Lanckriet G; Lambrechts A; De Moor B; Vandewalle J Neural Comput; 2002 May; 14(5):1115-47. PubMed ID: 11972910 [TBL] [Abstract][Full Text] [Related]
20. Maxi-min margin machine: learning large margin classifiers locally and globally. Huang K; Yang H; King I; Lyu MR IEEE Trans Neural Netw; 2008 Feb; 19(2):260-72. PubMed ID: 18269957 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]