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Similar articles for PubMed (Select 19191593)

1.

A binary variable model for affinity propagation.

Givoni IE, Frey BJ.

Neural Comput. 2009 Jun;21(6):1589-600. doi: 10.1162/neco.2009.05-08-785.

PMID:
19191593
2.

Clustering by soft-constraint affinity propagation: applications to gene-expression data.

Leone M, Sumedha, Weigt M.

Bioinformatics. 2007 Oct 15;23(20):2708-15. Epub 2007 Sep 25.

3.

Bayesian model averaging of naive Bayes for clustering.

Santafé G, Lozano JA, Larrañaga P.

IEEE Trans Syst Man Cybern B Cybern. 2006 Oct;36(5):1149-61.

PMID:
17036820
4.

Competitive repetition suppression (CoRe) clustering: a biologically inspired learning model with application to robust clustering.

Bacciu D, Starita A.

IEEE Trans Neural Netw. 2008 Nov;19(11):1922-41. doi: 10.1109/TNN.2008.2004407.

PMID:
19000963
5.

Variations over the message computation algorithm of lazy propagation.

Madsen AL.

IEEE Trans Syst Man Cybern B Cybern. 2006 Jun;36(3):636-48.

PMID:
16761816
6.

Learning factorizations in estimation of distribution algorithms using affinity propagation.

Santana R, Larrañaga P, Lozano JA.

Evol Comput. 2010 Winter;18(4):515-46. doi: 10.1162/EVCO_a_00002. Epub 2010 Jun 28.

PMID:
20583913
7.

A new distance measure for model-based sequence clustering.

García-García D, Parrado Hernández E, Díaz-de María F.

IEEE Trans Pattern Anal Mach Intell. 2009 Jul;31(7):1325-31. doi: 10.1109/TPAMI.2008.268.

PMID:
19443928
8.

Unsupervised active learning based on hierarchical graph-theoretic clustering.

Hu W, Hu W, Xie N, Maybank S.

IEEE Trans Syst Man Cybern B Cybern. 2009 Oct;39(5):1147-61. doi: 10.1109/TSMCB.2009.2013197. Epub 2009 Mar 24.

PMID:
19336318
9.

Kernels for generalized multiple-instance learning.

Tao Q, Scott SD, Vinodchandran NV, Osugi TT, Mueller B.

IEEE Trans Pattern Anal Mach Intell. 2008 Dec;30(12):2084-98. doi: 10.1109/TPAMI.2007.70846.

PMID:
18988944
10.

Multi-exemplar affinity propagation.

Wang CD, Lai JH, Suen CY, Zhu JY.

IEEE Trans Pattern Anal Mach Intell. 2013 Sep;35(9):2223-37. doi: 10.1109/TPAMI.2013.28.

PMID:
23868781
11.

CoCRF deformable model: a geometric model driven by collaborative conditional random fields.

Tsechpenakis G, Metaxas D.

IEEE Trans Image Process. 2009 Oct;18(10):2316-29. doi: 10.1109/TIP.2009.2026624. Epub 2009 Jun 30.

PMID:
19574164
12.

Hierarchical kernel spectral clustering.

Alzate C, Suykens JA.

Neural Netw. 2012 Nov;35:21-30. doi: 10.1016/j.neunet.2012.06.007. Epub 2012 Jul 16.

PMID:
22898829
13.

Nesting one-against-one algorithm based on SVMs for pattern classification.

Liu B, Hao Z, Tsang EC.

IEEE Trans Neural Netw. 2008 Dec;19(12):2044-52. doi: 10.1109/TNN.2008.2003298.

PMID:
19054729
14.

Efficient computation and model selection for the support vector regression.

Gunter L, Zhu J.

Neural Comput. 2007 Jun;19(6):1633-55.

PMID:
17444762
15.

The global kernel k-means algorithm for clustering in feature space.

Tzortzis GF, Likas AC.

IEEE Trans Neural Netw. 2009 Jul;20(7):1181-94. doi: 10.1109/TNN.2009.2019722. Epub 2009 May 29.

PMID:
19493848
16.

A unified analysis of value-function-based reinforcement- learning algorithms.

Szepesvári C, Littman ML.

Neural Comput. 1999 Nov 15;11(8):2017-59.

PMID:
10578043
17.

A new approach of data clustering using a flock of agents.

Picarougne F, Azzag H, Venturini G, Guinot C.

Evol Comput. 2007 Fall;15(3):345-67.

PMID:
17705782
18.

Simultaneous localized feature selection and model detection for gaussian mixtures.

Li Y, Dong M, Hua J.

IEEE Trans Pattern Anal Mach Intell. 2009 May;31(5):953-60. doi: 10.1109/TPAMI.2008.261.

PMID:
19299867
19.

A modified backpropagation learning algorithm with added emotional coefficients.

Khashman A.

IEEE Trans Neural Netw. 2008 Nov;19(11):1896-909. doi: 10.1109/TNN.2008.2002913.

PMID:
18990644
20.

Local multidimensional scaling.

Venna J, Kaski S.

Neural Netw. 2006 Jul-Aug;19(6-7):889-99. Epub 2006 Jun 19.

PMID:
16787737
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