328 related articles for article (PubMed ID: 16580175)
1. Invariance priors for Bayesian feed-forward neural networks.
Toussaint UV; Gori S; Dose V
Neural Netw; 2006 Dec; 19(10):1550-7. PubMed ID: 16580175
[TBL] [Abstract][Full Text] [Related]
2. Neural network models for conditional distribution under bayesian analysis.
Miazhynskaia T; Frühwirth-Schnatter S; Dorffner G
Neural Comput; 2008 Feb; 20(2):504-22. PubMed ID: 18045023
[TBL] [Abstract][Full Text] [Related]
3. A comparative study of two modeling approaches in neural networks.
Xu ZB; Qiao H; Peng J; Zhang B
Neural Netw; 2004 Jan; 17(1):73-85. PubMed ID: 14690709
[TBL] [Abstract][Full Text] [Related]
4. Computer-aided optimal designs for improving neural network generalization.
Issanchou S; Gauchi JP
Neural Netw; 2008 Sep; 21(7):945-50. PubMed ID: 18619787
[TBL] [Abstract][Full Text] [Related]
5. Optimal exponential synchronization of general chaotic delayed neural networks: an LMI approach.
Liu M
Neural Netw; 2009 Sep; 22(7):949-57. PubMed ID: 19443178
[TBL] [Abstract][Full Text] [Related]
6. Global asymptotic stability of neural networks with discontinuous activations.
Wang J; Huang L; Guo Z
Neural Netw; 2009 Sep; 22(7):931-7. PubMed ID: 19443177
[TBL] [Abstract][Full Text] [Related]
7. Estimation of sparse nonnegative sources from noisy overcomplete mixtures using MAP.
Caiafa CF; Cichocki A
Neural Comput; 2009 Dec; 21(12):3487-518. PubMed ID: 19764872
[TBL] [Abstract][Full Text] [Related]
8. Bayesian spiking neurons II: learning.
Deneve S
Neural Comput; 2008 Jan; 20(1):118-45. PubMed ID: 18045003
[TBL] [Abstract][Full Text] [Related]
9. Ensembles of Bayesian-regularized genetic neural networks for modeling of acetylcholinesterase inhibition by huprines.
Fernández M; Caballero J
Chem Biol Drug Des; 2006 Oct; 68(4):201-12. PubMed ID: 17105484
[TBL] [Abstract][Full Text] [Related]
10. Control of nonaffine nonlinear discrete-time systems using reinforcement-learning-based linearly parameterized neural networks.
Yang Q; Vance JB; Jagannathan S
IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):994-1001. PubMed ID: 18632390
[TBL] [Abstract][Full Text] [Related]
11. Neural network uncertainty assessment using Bayesian statistics: a remote sensing application.
Aires F; Prigent C; Rossow WB
Neural Comput; 2004 Nov; 16(11):2415-58. PubMed ID: 15476606
[TBL] [Abstract][Full Text] [Related]
12. Optimal neurocontroller synthesis for impulse-driven systems.
Wang X; Balakrishnan SN
Neural Netw; 2010 Jan; 23(1):125-34. PubMed ID: 19766445
[TBL] [Abstract][Full Text] [Related]
13. Asymptotic behavior and synchronizability characteristics of a class of recurrent neural networks.
Cebulla C
Neural Comput; 2007 Sep; 19(9):2492-514. PubMed ID: 17650067
[TBL] [Abstract][Full Text] [Related]
14. Constraint handling using tournament selection: abductive inference in partly deterministic bayesian networks.
Galán SF; Mengshoel OJ
Evol Comput; 2009; 17(1):55-88. PubMed ID: 19207088
[TBL] [Abstract][Full Text] [Related]
15. Modeling semantics of inconsistent qualitative knowledge for quantitative Bayesian network inference.
Chang R; Brauer W; Stetter M
Neural Netw; 2008; 21(2-3):182-92. PubMed ID: 18272332
[TBL] [Abstract][Full Text] [Related]
16. Neural associative memory with optimal Bayesian learning.
Knoblauch A
Neural Comput; 2011 Jun; 23(6):1393-451. PubMed ID: 21395440
[TBL] [Abstract][Full Text] [Related]
17. Belief propagation in networks of spiking neurons.
Steimer A; Maass W; Douglas R
Neural Comput; 2009 Sep; 21(9):2502-23. PubMed ID: 19548806
[TBL] [Abstract][Full Text] [Related]
18. Bayesian filtering in spiking neural networks: noise, adaptation, and multisensory integration.
Bobrowski O; Meir R; Eldar YC
Neural Comput; 2009 May; 21(5):1277-320. PubMed ID: 19018706
[TBL] [Abstract][Full Text] [Related]
19. A comparison of learning algorithms for Bayesian networks: a case study based on data from an emergency medical service.
Acid S; de Campos LM; Fernández-Luna JM; Rodríguez S; María Rodríguez J; Luis Salcedo J
Artif Intell Med; 2004 Mar; 30(3):215-32. PubMed ID: 15081073
[TBL] [Abstract][Full Text] [Related]
20. logD7.4 modeling using Bayesian Regularized Neural Networks. Assessment and correction of the errors of prediction.
Bruneau P; McElroy NR
J Chem Inf Model; 2006; 46(3):1379-87. PubMed ID: 16711757
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
