144 related articles for article (PubMed ID: 20964543)
1. Least-squares independent component analysis.
Suzuki T; Sugiyama M
Neural Comput; 2011 Jan; 23(1):284-301. PubMed ID: 20964543
[TBL] [Abstract][Full Text] [Related]
2. A regularized kernel CCA contrast function for ICA.
Alzate C; Suykens JA
Neural Netw; 2008; 21(2-3):170-81. PubMed ID: 18280110
[TBL] [Abstract][Full Text] [Related]
3. Minimax mutual information approach for independent component analysis.
Erdogmus D; Hild KE; Rao YN; Príncipe JC
Neural Comput; 2004 Jun; 16(6):1235-52. PubMed ID: 15130248
[TBL] [Abstract][Full Text] [Related]
4. Differential learning algorithms for decorrelation and independent component analysis.
Choi S
Neural Netw; 2006 Dec; 19(10):1558-67. PubMed ID: 16928429
[TBL] [Abstract][Full Text] [Related]
5. Design of a multiple kernel learning algorithm for LS-SVM by convex programming.
Jian L; Xia Z; Liang X; Gao C
Neural Netw; 2011 Jun; 24(5):476-83. PubMed ID: 21441012
[TBL] [Abstract][Full Text] [Related]
6. A fast algorithm for AR parameter estimation using a novel noise-constrained least-squares method.
Xia Y; Kamel MS; Leung H
Neural Netw; 2010 Apr; 23(3):396-405. PubMed ID: 20005072
[TBL] [Abstract][Full Text] [Related]
7. Dimensionality reduction for density ratio estimation in high-dimensional spaces.
Sugiyama M; Kawanabe M; Chui PL
Neural Netw; 2010 Jan; 23(1):44-59. PubMed ID: 19631506
[TBL] [Abstract][Full Text] [Related]
8. Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search.
Sugiyama M; Yamada M; von Bünau P; Suzuki T; Kanamori T; Kawanabe M
Neural Netw; 2011 Mar; 24(2):183-98. PubMed ID: 21059481
[TBL] [Abstract][Full Text] [Related]
9. Principal surfaces from unsupervised kernel regression.
Meinicke P; Klanke S; Memisevic R; Ritter H
IEEE Trans Pattern Anal Mach Intell; 2005 Sep; 27(9):1379-91. PubMed ID: 16173183
[TBL] [Abstract][Full Text] [Related]
10. Efficient global maximum likelihood estimation through kernel methods.
Cervellera C; Macciò D; Muselli M
Neural Netw; 2010 Sep; 23(7):917-25. PubMed ID: 20403677
[TBL] [Abstract][Full Text] [Related]
11. Nonlinear and noisy extension of independent component analysis: theory and its application to a pitch sensation model.
Maeda S; Song WJ; Ishii S
Neural Comput; 2005 Jan; 17(1):115-44. PubMed ID: 15563750
[TBL] [Abstract][Full Text] [Related]
12. Additive survival least-squares support vector machines.
Van Belle V; Pelckmans K; Suykens JA; Van Huffel S
Stat Med; 2010 Jan; 29(2):296-308. PubMed ID: 20024943
[TBL] [Abstract][Full Text] [Related]
13. A novel extended kernel recursive least squares algorithm.
Zhu P; Chen B; Príncipe JC
Neural Netw; 2012 Aug; 32():349-57. PubMed ID: 22326204
[TBL] [Abstract][Full Text] [Related]
14. Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors.
Kohler M; Mehnert J
Neural Netw; 2011 Apr; 24(3):273-9. PubMed ID: 21196100
[TBL] [Abstract][Full Text] [Related]
15. The effect of mutual information on independent component analysis in EEG/MEG analysis: a simulation study.
Neumann A; Grosse-Wentrup M; Buss M; Gramann K
Int J Neurosci; 2008 Nov; 118(11):1534-46. PubMed ID: 18853332
[TBL] [Abstract][Full Text] [Related]
16. Improving generalization performance of natural gradient learning using optimized regularization by NIC.
Park H; Murata N; Amari S
Neural Comput; 2004 Feb; 16(2):355-82. PubMed ID: 15006100
[TBL] [Abstract][Full Text] [Related]
17. Evaluating methods for classifying expression data.
Man MZ; Dyson G; Johnson K; Liao B
J Biopharm Stat; 2004 Nov; 14(4):1065-84. PubMed ID: 15587980
[TBL] [Abstract][Full Text] [Related]
18. Density-weighted Nyström method for computing large kernel eigensystems.
Zhang K; Kwok JT
Neural Comput; 2009 Jan; 21(1):121-46. PubMed ID: 19431280
[TBL] [Abstract][Full Text] [Related]
19. An on-line modified least-mean-square algorithm for training neurofuzzy controllers.
Tan WW
ISA Trans; 2007 Apr; 46(2):181-8. PubMed ID: 17337268
[TBL] [Abstract][Full Text] [Related]
20. Robust L1 principal component analysis and its Bayesian variational inference.
Gao J
Neural Comput; 2008 Feb; 20(2):555-72. PubMed ID: 18045015
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]