360 related articles for article (PubMed ID: 23500503)
1. A neural network algorithm for semi-supervised node label learning from unbalanced data.
Frasca M; Bertoni A; Re M; Valentini G
Neural Netw; 2013 Jul; 43():84-98. PubMed ID: 23500503
[TBL] [Abstract][Full Text] [Related]
2. A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks.
Frasca M; Grossi G; Gliozzo J; Mesiti M; Notaro M; Perlasca P; Petrini A; Valentini G
BMC Bioinformatics; 2018 Oct; 19(Suppl 10):353. PubMed ID: 30367594
[TBL] [Abstract][Full Text] [Related]
3. An efficient approximation algorithm for finding a maximum clique using Hopfield network learning.
Wang RL; Tang Z; Cao QP
Neural Comput; 2003 Jul; 15(7):1605-19. PubMed ID: 12816568
[TBL] [Abstract][Full Text] [Related]
4. Semi-supervised multi-label collective classification ensemble for functional genomics.
Wu Q; Ye Y; Ho SS; Zhou S
BMC Genomics; 2014; 15 Suppl 9(Suppl 9):S17. PubMed ID: 25521242
[TBL] [Abstract][Full Text] [Related]
5. Semi-supervised learning via regularized boosting working on multiple semi-supervised assumptions.
Chen K; Wang S
IEEE Trans Pattern Anal Mach Intell; 2011 Jan; 33(1):129-43. PubMed ID: 20421671
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Meta-learning approach to neural network optimization.
Kordík P; Koutník J; Drchal J; Kovárík O; Cepek M; Snorek M
Neural Netw; 2010 May; 23(4):568-82. PubMed ID: 20227243
[TBL] [Abstract][Full Text] [Related]
8. The graph neural network model.
Scarselli F; Gori M; Tsoi AC; Hagenbuchner M; Monfardini G
IEEE Trans Neural Netw; 2009 Jan; 20(1):61-80. PubMed ID: 19068426
[TBL] [Abstract][Full Text] [Related]
9. The road to chaos by time-asymmetric Hebbian learning in recurrent neural networks.
Molter C; Salihoglu U; Bersini H
Neural Comput; 2007 Jan; 19(1):80-110. PubMed ID: 17134318
[TBL] [Abstract][Full Text] [Related]
10. Detecting and preventing error propagation via competitive learning.
Silva TC; Zhao L
Neural Netw; 2013 May; 41():70-84. PubMed ID: 23200192
[TBL] [Abstract][Full Text] [Related]
11. Learning from pairwise constraints by Similarity Neural Networks.
Maggini M; Melacci S; Sarti L
Neural Netw; 2012 Feb; 26():141-58. PubMed ID: 22055097
[TBL] [Abstract][Full Text] [Related]
12. A distributed semi-supervised learning algorithm based on manifold regularization using wavelet neural network.
Xie J; Liu S; Dai H
Neural Netw; 2019 Oct; 118():300-309. PubMed ID: 31330270
[TBL] [Abstract][Full Text] [Related]
13. Joint learning of labels and distance metric.
Liu B; Wang M; Hong R; Zha Z; Hua XS
IEEE Trans Syst Man Cybern B Cybern; 2010 Jun; 40(3):973-8. PubMed ID: 19963702
[TBL] [Abstract][Full Text] [Related]
14. Online semi-supervised growing neural gas.
Beyer O; Cimiano P
Int J Neural Syst; 2012 Oct; 22(5):1250023. PubMed ID: 22992211
[TBL] [Abstract][Full Text] [Related]
15. [An optimal predicting method based on improved genetic algorithm embedded in neural network and its application to peritoneal dialysis].
Zhang M; Hu Y; Wang T; Zhu J
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2009 Dec; 26(6):1186-90. PubMed ID: 20095466
[TBL] [Abstract][Full Text] [Related]
16. A graph-based evolutionary algorithm: Genetic Network Programming (GNP) and its extension using reinforcement learning.
Mabu S; Hirasawa K; Hu J
Evol Comput; 2007; 15(3):369-98. PubMed ID: 17705783
[TBL] [Abstract][Full Text] [Related]
17. Semi-supervised learning based on high density region estimation.
Chen H; Li L; Peng J
Neural Netw; 2010 Sep; 23(7):812-8. PubMed ID: 20605081
[TBL] [Abstract][Full Text] [Related]
18. Evolutionary product unit based neural networks for regression.
Martínez-Estudillo A; Martínez-Estudillo F; Hervás-Martínez C; García-Pedrajas N
Neural Netw; 2006 May; 19(4):477-86. PubMed ID: 16481148
[TBL] [Abstract][Full Text] [Related]
19. The loading problem for recursive neural networks.
Gori M; Sperduti A
Neural Netw; 2005 Oct; 18(8):1064-79. PubMed ID: 16198537
[TBL] [Abstract][Full Text] [Related]
20. Neural independent component analysis by 'maximum-mismatch' learning principle.
Fiori S
Neural Netw; 2003 Oct; 16(8):1201-21. PubMed ID: 13678623
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
