283 related articles for article (PubMed ID: 15461084)
1. A negentropy minimization approach to adaptive equalization for digital communication systems.
Choi S; Lee TW
IEEE Trans Neural Netw; 2004 Jul; 15(4):928-36. PubMed ID: 15461084
[TBL] [Abstract][Full Text] [Related]
2. Advanced search algorithms for information-theoretic learning with kernel-based estimators.
Morejon RA; Principe JC
IEEE Trans Neural Netw; 2004 Jul; 15(4):874-84. PubMed ID: 15461080
[TBL] [Abstract][Full Text] [Related]
3. Gradient-based manipulation of nonparametric entropy estimates.
Schraudolph NN
IEEE Trans Neural Netw; 2004 Jul; 15(4):828-37. PubMed ID: 15461076
[TBL] [Abstract][Full Text] [Related]
4. Learning mixture models with the regularized latent maximum entropy principle.
Wang S; Schuurmans D; Peng F; Zhao Y
IEEE Trans Neural Netw; 2004 Jul; 15(4):903-16. PubMed ID: 15461082
[TBL] [Abstract][Full Text] [Related]
5. Partial distortion entropy maximization for online data clustering.
Takizawa H; Kobayashi H
Neural Netw; 2007 Sep; 20(7):819-31. PubMed ID: 17683903
[TBL] [Abstract][Full Text] [Related]
6. Decision feedback recurrent neural equalization with fast convergence rate.
Choi J; Bouchard M; Yeap TH
IEEE Trans Neural Netw; 2005 May; 16(3):699-708. PubMed ID: 15940997
[TBL] [Abstract][Full Text] [Related]
7. From blind signal extraction to blind instantaneous signal separation: criteria, algorithms, and stability.
Cruces-Alvarez SA; Cichocki A; Amari S
IEEE Trans Neural Netw; 2004 Jul; 15(4):859-73. PubMed ID: 15461079
[TBL] [Abstract][Full Text] [Related]
8. Entropy-based kernel mixture modeling for topographic map formation.
Van Hulle MM
IEEE Trans Neural Netw; 2004 Jul; 15(4):850-8. PubMed ID: 15461078
[TBL] [Abstract][Full Text] [Related]
9. Space-time adaptive decision feedback neural receivers with data selection for high-data-rate users in DS-CDMA systems.
de Lamare RC; Sampaio-Neto R
IEEE Trans Neural Netw; 2008 Nov; 19(11):1887-95. PubMed ID: 18990643
[TBL] [Abstract][Full Text] [Related]
10. A new information processing measure for adaptive complex systems.
Sánchez-Montañés MA; Corbacho FJ
IEEE Trans Neural Netw; 2004 Jul; 15(4):917-27. PubMed ID: 15461083
[TBL] [Abstract][Full Text] [Related]
11. Neural-network-based nonlinear adaptive dynamical decoupling control.
Fu Y; Chai T
IEEE Trans Neural Netw; 2007 May; 18(3):921-5. PubMed ID: 17526358
[TBL] [Abstract][Full Text] [Related]
12. Advances on BYY harmony learning: information theoretic perspective, generalized projection geometry, and independent factor autodetermination.
Xu L
IEEE Trans Neural Netw; 2004 Jul; 15(4):885-902. PubMed ID: 15461081
[TBL] [Abstract][Full Text] [Related]
13. Adaptive probabilistic neural networks for pattern classification in time-varying environment.
Rutkowski L
IEEE Trans Neural Netw; 2004 Jul; 15(4):811-27. PubMed ID: 15461075
[TBL] [Abstract][Full Text] [Related]
14. Feature selection in MLPs and SVMs based on maximum output information.
Sindhwani V; Rakshit S; Deodhare D; Erdogmus D; Principe JC; Niyogi P
IEEE Trans Neural Netw; 2004 Jul; 15(4):937-48. PubMed ID: 15461085
[TBL] [Abstract][Full Text] [Related]
15. Higher-order-statistics-based radial basis function networks for signal enhancement.
Lin BS; Lin BS; Chong FC; Lai F
IEEE Trans Neural Netw; 2007 May; 18(3):823-32. PubMed ID: 17526347
[TBL] [Abstract][Full Text] [Related]
16. Incremental communication for adaptive resonance theory networks.
Chen M; Ghorbani AA; Bhavsar VC
IEEE Trans Neural Netw; 2005 Jan; 16(1):132-44. PubMed ID: 15732394
[TBL] [Abstract][Full Text] [Related]
17. Blind information-theoretic multiuser detection algorithms for DS-CDMA and WCDMA downlink systems.
Waheed K; Salem FM
IEEE Trans Neural Netw; 2005 Jul; 16(4):937-48. PubMed ID: 16121734
[TBL] [Abstract][Full Text] [Related]
18. Probabilistic sequential independent components analysis.
Welling M; Zemel RS; Hinton GE
IEEE Trans Neural Netw; 2004 Jul; 15(4):838-49. PubMed ID: 15461077
[TBL] [Abstract][Full Text] [Related]
19. Several extensions in methods for adaptive output feedback control.
Kim N; Calise AJ
IEEE Trans Neural Netw; 2007 Mar; 18(2):482-94. PubMed ID: 17385633
[TBL] [Abstract][Full Text] [Related]
20. A new criterion using information gain for action selection strategy in reinforcement learning.
Iwata K; Ikeda K; Sakai H
IEEE Trans Neural Netw; 2004 Jul; 15(4):792-9. PubMed ID: 15461073
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
