164 related articles for article (PubMed ID: 26476936)
1. Smart sampling and incremental function learning for very large high dimensional data.
Loyola R DG; Pedergnana M; Gimeno García S
Neural Netw; 2016 Jun; 78():75-87. PubMed ID: 26476936
[TBL] [Abstract][Full Text] [Related]
2. Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation.
Wang J; Deng Z; Luo X; Jiang Y; Wang S
Neural Netw; 2016 Jun; 78():51-64. PubMed ID: 27049545
[TBL] [Abstract][Full Text] [Related]
3. Accelerating deep learning with memcomputing.
Manukian H; Traversa FL; Di Ventra M
Neural Netw; 2019 Feb; 110():1-7. PubMed ID: 30458316
[TBL] [Abstract][Full Text] [Related]
4. Data classification with radial basis function networks based on a novel kernel density estimation algorithm.
Oyang YJ; Hwang SC; Ou YY; Chen CY; Chen ZW
IEEE Trans Neural Netw; 2005 Jan; 16(1):225-36. PubMed ID: 15732402
[TBL] [Abstract][Full Text] [Related]
5. Efficient learning and feature selection in high-dimensional regression.
Ting JA; D'Souza A; Vijayakumar S; Schaal S
Neural Comput; 2010 Apr; 22(4):831-86. PubMed ID: 20028222
[TBL] [Abstract][Full Text] [Related]
6. Projection-based fast learning fully complex-valued relaxation neural network.
Savitha R; Suresh S; Sundararajan N
IEEE Trans Neural Netw Learn Syst; 2013 Apr; 24(4):529-41. PubMed ID: 24808375
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. MapReduce Based Parallel Neural Networks in Enabling Large Scale Machine Learning.
Liu Y; Yang J; Huang Y; Xu L; Li S; Qi M
Comput Intell Neurosci; 2015; 2015():297672. PubMed ID: 26681933
[TBL] [Abstract][Full Text] [Related]
9. Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach.
Yang J; Singh H; Hines EL; Schlaghecken F; Iliescu DD; Leeson MS; Stocks NG
Artif Intell Med; 2012 Jun; 55(2):117-26. PubMed ID: 22503644
[TBL] [Abstract][Full Text] [Related]
10. [Applications of machine learning in clinical decision support in the omic era].
Zhao XT; Yang YD; Qu HZ; Fang XD
Yi Chuan; 2018 Sep; 40(9):693-703. PubMed ID: 30369474
[TBL] [Abstract][Full Text] [Related]
11. A learning rule for very simple universal approximators consisting of a single layer of perceptrons.
Auer P; Burgsteiner H; Maass W
Neural Netw; 2008 Jun; 21(5):786-95. PubMed ID: 18249524
[TBL] [Abstract][Full Text] [Related]
12. Online learning of single- and multivalued functions with an infinite mixture of linear experts.
Damas B; Santos-Victor J
Neural Comput; 2013 Nov; 25(11):3044-91. PubMed ID: 24001344
[TBL] [Abstract][Full Text] [Related]
13. Incremental hierarchical discriminant regression.
Weng J; Hwang WS
IEEE Trans Neural Netw; 2007 Mar; 18(2):397-415. PubMed ID: 17385628
[TBL] [Abstract][Full Text] [Related]
14. Incremental online learning in high dimensions.
Vijayakumar S; D'Souza A; Schaal S
Neural Comput; 2005 Dec; 17(12):2602-34. PubMed ID: 16212764
[TBL] [Abstract][Full Text] [Related]
15. A novel multiple instance learning method based on extreme learning machine.
Wang J; Cai L; Peng J; Jia Y
Comput Intell Neurosci; 2015; 2015():405890. PubMed ID: 25705220
[TBL] [Abstract][Full Text] [Related]
16. Function approximation using combined unsupervised and supervised learning.
Andras P
IEEE Trans Neural Netw Learn Syst; 2014 Mar; 25(3):495-505. PubMed ID: 24807446
[TBL] [Abstract][Full Text] [Related]
17. Data splitting for artificial neural networks using SOM-based stratified sampling.
May RJ; Maier HR; Dandy GC
Neural Netw; 2010 Mar; 23(2):283-94. PubMed ID: 19959327
[TBL] [Abstract][Full Text] [Related]
18. BELM: Bayesian extreme learning machine.
Soria-Olivas E; Gómez-Sanchis J; Martín JD; Vila-Francés J; Martínez M; Magdalena JR; Serrano AJ
IEEE Trans Neural Netw; 2011 Mar; 22(3):505-9. PubMed ID: 21257373
[TBL] [Abstract][Full Text] [Related]
19. Iterative least squares functional networks classifier.
El-Sebakhy EA; Hadi AS; Faisal KA
IEEE Trans Neural Netw; 2007 May; 18(3):844-50. PubMed ID: 17526349
[TBL] [Abstract][Full Text] [Related]
20. Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection.
Kim J; Kim J; Jang GJ; Lee M
Neural Netw; 2017 Mar; 87():109-121. PubMed ID: 28110106
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]