Format
Sort by

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 159

1.

Learning by natural gradient on noncompact matrix-type pseudo-Riemannian manifolds.

Fiori S.

IEEE Trans Neural Netw. 2010 May;21(5):841-52. doi: 10.1109/TNN.2010.2043445. Epub 2010 Mar 15.

PMID:
20236880
2.

Extended Hamiltonian learning on Riemannian manifolds: theoretical aspects.

Fiori S.

IEEE Trans Neural Netw. 2011 May;22(5):687-700. doi: 10.1109/TNN.2011.2109395. Epub 2011 Mar 22.

PMID:
21427023
3.
4.

Lie-group-type neural system learning by manifold retractions.

Fiori S.

Neural Netw. 2008 Dec;21(10):1524-9. doi: 10.1016/j.neunet.2008.09.009. Epub 2008 Oct 2.

PMID:
18980831
5.

Riemannian-gradient-based learning on the complex matrix-hypersphere.

Fiori S.

IEEE Trans Neural Netw. 2011 Dec;22(12):2132-8. doi: 10.1109/TNN.2011.2168537. Epub 2011 Oct 6.

PMID:
21984497
6.

Riemannian manifold learning.

Lin T, Zha H.

IEEE Trans Pattern Anal Mach Intell. 2008 May;30(5):796-809. doi: 10.1109/TPAMI.2007.70735.

PMID:
18369250
7.

On 'natural' learning and pruning in multi-layered perceptrons.

Heskes T.

Neural Comput. 2000 Apr;12(4):881-901.

PMID:
10770836
8.

Improved learning of Riemannian metrics for exploratory analysis.

Peltonen J, Klami A, Kaski S.

Neural Netw. 2004 Oct-Nov;17(8-9):1087-100. Erratum in: Neural Netw. 2005 Jan;18(1):105.

PMID:
15555853
9.

Distance approximating dimension reduction of Riemannian manifolds.

Chen C, Zhang J, Fleischer R.

IEEE Trans Syst Man Cybern B Cybern. 2010 Feb;40(1):208-17. doi: 10.1109/TSMCB.2009.2025028. Epub 2009 Jul 17.

PMID:
19622439
10.

Pedestrian detection via classification on Riemannian manifolds.

Tuzel O, Porikli F, Meer P.

IEEE Trans Pattern Anal Mach Intell. 2008 Oct;30(10):1713-27. doi: 10.1109/TPAMI.2008.75.

PMID:
18703826
11.

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.

PMID:
15461079
12.
13.

Dynamics of learning in multilayer perceptrons near singularities.

Cousseau F, Ozeki T, Amari S.

IEEE Trans Neural Netw. 2008 Aug;19(8):1313-28. doi: 10.1109/TNN.2008.2000391.

PMID:
18701364
14.

Decision manifolds--a supervised learning algorithm based on self-organization.

Polzlbauer G, Lidy T, Rauber A.

IEEE Trans Neural Netw. 2008 Sep;19(9):1518-30. doi: 10.1109/TNN.2008.2000449.

PMID:
18779085
15.

Fast learning of biased patterns in neural networks.

Wendemuth A, Sherrington D.

Int J Neural Syst. 1993 Sep;4(3):223-30.

PMID:
8293228
16.

Adaptive natural gradient learning algorithms for various stochastic models.

Park H, Amari SI, Fukumizu K.

Neural Netw. 2000 Sep;13(7):755-64.

PMID:
11152207
17.

Learning activation rules rather than connection weights.

Grundstrom EL, Reggia JA.

Int J Neural Syst. 1996 May;7(2):129-47. Review.

PMID:
8823624
18.

Adaptive hybrid learning for neural networks.

Smithies R, Salhi S, Queen N.

Neural Comput. 2004 Jan;16(1):139-57.

PMID:
15006027
19.

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.

PMID:
15461080
20.

Stability analysis and the stabilization of a class of discrete-time dynamic neural networks.

Patan K.

IEEE Trans Neural Netw. 2007 May;18(3):660-73. Erratum in: IEEE Trans Neural Netw. 2009 Mar;20(3):547-8.

PMID:
17526334
Items per page

Supplemental Content

Write to the Help Desk