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.
160 related articles for article (PubMed ID: 36899604)
1. Functional extreme learning machine for regression and classification. Liu X; Zhou Y; Meng W; Luo Q Math Biosci Eng; 2023 Jan; 20(2):3768-3792. PubMed ID: 36899604 [TBL] [Abstract][Full Text] [Related]
2. Functional extreme learning machine. Liu X; Zhou G; Zhou Y; Luo Q Front Comput Neurosci; 2023; 17():1209372. PubMed ID: 37496514 [TBL] [Abstract][Full Text] [Related]
3. Extreme learning machine for regression and multiclass classification. Huang GB; Zhou H; Ding X; Zhang R IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):513-29. PubMed ID: 21984515 [TBL] [Abstract][Full Text] [Related]
4. Tuning extreme learning machine by an improved electromagnetism-like mechanism algorithm for classification problem. Zhang MY; Wu Q; Xu ZZ Math Biosci Eng; 2019 May; 16(5):4692-4707. PubMed ID: 31499684 [TBL] [Abstract][Full Text] [Related]
5. Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines. Abuassba AOM; Zhang D; Luo X; Shaheryar A; Ali H Comput Intell Neurosci; 2017; 2017():3405463. PubMed ID: 28546808 [TBL] [Abstract][Full Text] [Related]
6. Remote Sensing Image Recognition Based on LOG-T-SSA-LSSVM and AE-ELM Network. Sun CJ; Gao F Comput Intell Neurosci; 2022; 2022():8077563. PubMed ID: 35126500 [TBL] [Abstract][Full Text] [Related]
7. The generalized extreme learning machines: Tuning hyperparameters and limiting approach for the Moore-Penrose generalized inverse. Kim M Neural Netw; 2021 Dec; 144():591-602. PubMed ID: 34634606 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization. Kuppili V; Biswas M; Sreekumar A; Suri HS; Saba L; Edla DR; Marinho RT; Sanches JM; Suri JS J Med Syst; 2017 Aug; 41(10):152. PubMed ID: 28836045 [TBL] [Abstract][Full Text] [Related]
10. Sparse extreme learning machine for classification. Bai Z; Huang GB; Wang D; Wang H; Westover MB IEEE Trans Cybern; 2014 Oct; 44(10):1858-70. PubMed ID: 25222727 [TBL] [Abstract][Full Text] [Related]
11. [Drug discrimination by near infrared spectroscopy based on summation wavelet extreme learning machine]. Liu ZB; Jiang SJ; Yang HH; Zhang XB Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Oct; 34(10):2815-20. PubMed ID: 25739231 [TBL] [Abstract][Full Text] [Related]
12. Extreme Learning Machine With Subnetwork Hidden Nodes for Regression and Classification. Yang Y; Wu QM IEEE Trans Cybern; 2016 Dec; 46(12):2885-2898. PubMed ID: 26552104 [TBL] [Abstract][Full Text] [Related]
13. Spoken language identification based on the enhanced self-adjusting extreme learning machine approach. Albadr MAA; Tiun S; Al-Dhief FT; Sammour MAM PLoS One; 2018; 13(4):e0194770. PubMed ID: 29672546 [TBL] [Abstract][Full Text] [Related]
14. 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]
16. Deep Convolutional Extreme Learning Machine and Its Application in Handwritten Digit Classification. Pang S; Yang X Comput Intell Neurosci; 2016; 2016():3049632. PubMed ID: 27610128 [TBL] [Abstract][Full Text] [Related]
17. Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier. Subbulakshmi CV; Deepa SN ScientificWorldJournal; 2015; 2015():418060. PubMed ID: 26491713 [TBL] [Abstract][Full Text] [Related]
18. An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine. Avci D; Dogantekin A Parkinsons Dis; 2016; 2016():5264743. PubMed ID: 27274882 [TBL] [Abstract][Full Text] [Related]
19. Extreme learning machines: a new approach for modeling dissolved oxygen (DO) concentration with and without water quality variables as predictors. Heddam S; Kisi O Environ Sci Pollut Res Int; 2017 Jul; 24(20):16702-16724. PubMed ID: 28560629 [TBL] [Abstract][Full Text] [Related]
20. A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach. Jian Y; Huang D; Yan J; Lu K; Huang Y; Wen T; Zeng T; Zhong S; Xie Q Sensors (Basel); 2017 Jun; 17(6):. PubMed ID: 28629202 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]