-
1
-
-
0000396062
-
Natural gradient works efficiently in learning
-
S. Amari, "Natural gradient works efficiently in learning," Neural Comput., vol. 10, no. 2, pp. 251-276, 1998.
-
(1998)
Neural Comput.
, vol.10
, Issue.2
, pp. 251-276
-
-
Amari, S.1
-
2
-
-
21644455755
-
Hierarchical models for assessing variability among functions
-
S. Behseta, R. E. Kass, and G. L. Wallstrom, "Hierarchical models for assessing variability among functions," Biometrika, vol. 92, no. 2, pp. 419-434, 2005.
-
(2005)
Biometrika
, vol.92
, Issue.2
, pp. 419-434
-
-
Behseta, S.1
Kass, R.E.2
Wallstrom, G.L.3
-
3
-
-
84867186048
-
Variational inference for Dirichlet process mixtures
-
D. M. Blei and M. I. Jordan, "Variational inference for Dirichlet process mixtures," Bayesian Anal., vol. 1, no. 1, pp. 121-144, 2006.
-
(2006)
Bayesian Anal.
, vol.1
, Issue.1
, pp. 121-144
-
-
Blei, D.M.1
Jordan, M.I.2
-
4
-
-
80053928843
-
Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements
-
E. Cooke, R. Savage, P. Kirk, R. Darkins, and D. Wild, "Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements," BMC Bioinformat., vol. 12, no. 1, p. 399, http://www.biomedcentral.com/1471-2105/12/399, 2011.
-
(2011)
BMC Bioinformat.
, vol.12
, Issue.1
, pp. 399
-
-
Cooke, E.1
Savage, R.2
Kirk, P.3
Darkins, R.4
Wild, D.5
-
5
-
-
70350094855
-
Nonparametric Bayes applications to biostatistics
-
L. Hjort, C. Holmes, P. Muller, and S. Walker, Eds. Cambridge, U.K.: Cambridge Univ Press
-
D. Dunson, "Nonparametric Bayes applications to biostatistics," in Bayesian Nonparametrics, L. Hjort, C. Holmes, P. Muller, and S. Walker, Eds. Cambridge, U.K.: Cambridge Univ Press, 2010.
-
(2010)
Bayesian Nonparametrics
-
-
Dunson, D.1
-
6
-
-
84920988739
-
-
arXiv preprint arXiv: 1303.7090
-
N. Durrande, J. Hensman, M. Rattray, and N. D. Lawrence, "Gaussian process models for periodicity detection," arXiv preprint arXiv:1303.7090, 2013.
-
(2013)
Gaussian Process Models for Periodicity Detection
-
-
Durrande, N.1
Hensman, J.2
Rattray, M.3
Lawrence, N.D.4
-
7
-
-
84883223007
-
The circadian clock in murine chondrocytes regulates genes controlling key aspects of cartilage homeostasis
-
N. Gossan, L. Zeef, J. Hensman, A. Hughes, J. F. Bateman, L. Rowley, C. B. Little, H. D. Piggins, M. Rattray, R. P. Boot-Handford, and Q. J. Meng, "The circadian clock in murine chondrocytes regulates genes controlling key aspects of cartilage homeostasis," Arthritis Rheumatism, vol. 65, no. 9, pp. 2334-2345, 2013.
-
(2013)
Arthritis Rheumatism
, vol.65
, Issue.9
, pp. 2334-2345
-
-
Gossan, N.1
Zeef, L.2
Hensman, J.3
Hughes, A.4
Bateman, J.F.5
Rowley, L.6
Little, C.B.7
Piggins, H.D.8
Rattray, M.9
Boot-Handford, R.P.10
Meng, Q.J.11
-
8
-
-
84920987579
-
Hierarchial Bayesian modelling of gene expression time series
-
Submitted to
-
J. Hensman, N. Lawrence, and M. Rattray, "Hierarchial Bayesian modelling of gene expression time series," Submitted to BMC Bioinformat., 2012.
-
(2012)
BMC Bioinformat.
-
-
Hensman, J.1
Lawrence, N.2
Rattray, M.3
-
9
-
-
84877726166
-
Fast variational inference in the conjugate exponential family
-
J. Hensman, M. Rattray, and N. D. Lawrence, "Fast variational inference in the conjugate exponential family," in Proc. Adv. Neural Inf. Process. Syst., 2012, pp. 2897-2905.
-
(2012)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 2897-2905
-
-
Hensman, J.1
Rattray, M.2
Lawrence, N.D.3
-
10
-
-
84878919168
-
Stochastic variational inference
-
M. Hoffman, D. Blei, C. Wang, and J. Paisley, "Stochastic variational inference," J. Mach. Learn. Res., vol. 14, pp. 1303-1347, 2013.
-
(2013)
J. Mach. Learn. Res.
, vol.14
, pp. 1303-1347
-
-
Hoffman, M.1
Blei, D.2
Wang, C.3
Paisley, J.4
-
11
-
-
77952328474
-
Model-based method for transcription factor target identification with limited data
-
A. Honkela, C. Girardot, E. Gustafson, Y. Liu, E. Furlong, N. Lawrence, and M. Rattray, "Model-based method for transcription factor target identification with limited data," Proc. Nat. Acad. Sci. USA, vol. 107, no. 17, pp. 7793-7798, 2010.
-
(2010)
Proc. Nat. Acad. Sci. USA
, vol.107
, Issue.17
, pp. 7793-7798
-
-
Honkela, A.1
Girardot, C.2
Gustafson, E.3
Liu, Y.4
Furlong, E.5
Lawrence, N.6
Rattray, M.7
-
12
-
-
79551487646
-
Approximate Riemannian conjugate gradient learning for fixedform variational Bayes
-
A. Honkela, T. Raiko, M. Kuusela, M. Tornio, and J. Karhunen, "Approximate Riemannian conjugate gradient learning for fixedform variational Bayes," J. Mach. Learn. Res., vol. 9999, pp. 3235- 3268, 2010.
-
(2010)
J. Mach. Learn. Res.
, vol.9999
, pp. 3235-3268
-
-
Honkela, A.1
Raiko, T.2
Kuusela, M.3
Tornio, M.4
Karhunen, J.5
-
13
-
-
1842486852
-
A split-merge Markov chain Monte Carlo procedure for the Dirichlet process mixture model
-
S. Jain and R. Neal, "A split-merge Markov chain Monte Carlo procedure for the Dirichlet process mixture model," J. Comput. Graph. Statist., vol. 13, no. 1, pp. 158-182, 2004.
-
(2004)
J. Comput. Graph. Statist.
, vol.13
, Issue.1
, pp. 158-182
-
-
Jain, S.1
Neal, R.2
-
14
-
-
79956211692
-
A simple approach to ranking differentially expressed gene expression time courses through Gaussian process regression
-
A. Kalaitzis and N. Lawrence, "A simple approach to ranking differentially expressed gene expression time courses through Gaussian process regression," BMC Bioinformat., vol. 12, no. 1, p. 180, 2011.
-
(2011)
BMC Bioinformat.
, vol.12
, Issue.1
, pp. 180
-
-
Kalaitzis, A.1
Lawrence, N.2
-
15
-
-
78650120369
-
Gene expression divergence recapitulates the developmental hourglass model
-
A. Kalinka, K. Varga, D. Gerrard, S. Preibisch, D. Corcoran, J. Jarrells, U. Ohler, C. Bergman, and P. Tomancak, "Gene expression divergence recapitulates the developmental hourglass model," Nature, vol. 468, no. 7325, pp. 811-814, 2010.
-
(2010)
Nature
, vol.468
, Issue.7325
, pp. 811-814
-
-
Kalinka, A.1
Varga, K.2
Gerrard, D.3
Preibisch, S.4
Corcoran, D.5
Jarrells, J.6
Ohler, U.7
Bergman, C.8
Tomancak, P.9
-
16
-
-
33750291245
-
Fast variational inference for Gaussian process models through KL-correction
-
N. King and N. D. Lawrence, "Fast variational inference for Gaussian process models through KL-correction," in Proc. 17th Eur. Conf. Mach. Learn., 2006, pp. 270-281.
-
(2006)
Proc. 17th Eur. Conf. Mach. Learn.
, pp. 270-281
-
-
King, N.1
Lawrence, N.D.2
-
17
-
-
47949127602
-
Collapsed variational Dirichlet process mixture models
-
K. Kurihara, M. Welling, and Y. W. Teh, "Collapsed variational Dirichlet process mixture models," in Proc. Int. Joint Conf. Artif. Intell., 2007, vol. 20, pp. 2796-2801.
-
(2007)
Proc. Int. Joint Conf. Artif. Intell.
, vol.20
, pp. 2796-2801
-
-
Kurihara, K.1
Welling, M.2
Teh, Y.W.3
-
18
-
-
70449373407
-
A gradientbased algorithm competitive with variational Bayesian em for mixture of Gaussians
-
M. Kuusela, T. Raiko, A. Honkela, and J. Karhunen, "A gradientbased algorithm competitive with variational Bayesian EM for mixture of Gaussians," in Proc. Int. Joint Conf. Neural Netw., 2009, pp. 1688-1695.
-
(2009)
Proc. Int. Joint Conf. Neural Netw.
, pp. 1688-1695
-
-
Kuusela, M.1
Raiko, T.2
Honkela, A.3
Karhunen, J.4
-
20
-
-
83655184780
-
Overlapping mixtures of Gaussian processes for the data association problem
-
M. L-azaro-Gredilla, S. Van Vaerenbergh, and N. Lawrence, "Overlapping mixtures of Gaussian processes for the data association problem," Pattern Recognit., vol. 45, pp. 1386-1395, 2011.
-
(2011)
Pattern Recognit.
, vol.45
, pp. 1386-1395
-
-
L-Azaro-Gredilla, M.1
Van Vaerenbergh, S.2
Lawrence, N.3
-
21
-
-
3042686005
-
Bayesian mixture model based clustering of replicated microarray data
-
M. Medvedovic, K. Yeung, and R. Bumgarner, "Bayesian mixture model based clustering of replicated microarray data," Bioinformat., vol. 20, no. 8, pp. 1222-1232, 2004.
-
(2004)
Bioinformat.
, vol.20
, Issue.8
, pp. 1222-1232
-
-
Medvedovic, M.1
Yeung, K.2
Bumgarner, R.3
-
22
-
-
84876833306
-
Hierarchical Gaussian process regression
-
S. Park and S. Choi, "Hierarchical Gaussian process regression," in Proc. 2nd Asian Conf. Mach. Learn., 2010, vol. 13, pp. 95-110.
-
(2010)
Proc. 2nd Asian Conf. Mach. Learn.
, vol.13
, pp. 95-110
-
-
Park, S.1
Choi, S.2
-
26
-
-
0000147488
-
Online model selection based on the variational Bayes
-
M. A. Sato, "Online model selection based on the variational Bayes," Neural Comput., vol. 13, no. 7, pp. 1649-1681, 2001.
-
(2001)
Neural Comput.
, vol.13
, Issue.7
, pp. 1649-1681
-
-
Sato, M.A.1
-
27
-
-
77950803115
-
A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series
-
O. Stegle, K. Denby, E. Cooke, D. Wild, Z. Ghahramani, and K. Borgwardt, "A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series," J. Comput. Biol., vol. 17, no. 3, pp. 355-367, 2010.
-
(2010)
J. Comput. Biol.
, vol.17
, Issue.3
, pp. 355-367
-
-
Stegle, O.1
Denby, K.2
Cooke, E.3
Wild, D.4
Ghahramani, Z.5
Borgwardt, K.6
-
28
-
-
56549085814
-
Latent-space variational Bayes
-
Dec.
-
J. Sung, Z. Ghahramani, and S. Bang, "Latent-space variational Bayes," IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 12, pp. 2236-2242, Dec. 2008.
-
(2008)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.30
, Issue.12
, pp. 2236-2242
-
-
Sung, J.1
Ghahramani, Z.2
Bang, S.3
-
29
-
-
84864061876
-
A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation
-
Y. W. Teh, D. Newman, and M. Welling, "A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation," in Proc. Adv. Neural Inf. Process. Syst., 2007, vol. 19, p. 1353.
-
(2007)
Proc. Adv. Neural Inf. Process. Syst.
, vol.19
, pp. 1353
-
-
Teh, Y.W.1
Newman, D.2
Welling, M.3
-
30
-
-
0034244838
-
Split and merge em algorithm for improving Gaussian mixture density estimates
-
N. Ueda, R. Nakano, Z. Ghahramani, and G. Hinton, "Split and merge EM algorithm for improving Gaussian mixture density estimates," J. VLSI Signal Process., vol. 26, no. 1, pp. 133-140, 2000.
-
(2000)
J. VLSI Signal Process.
, vol.26
, Issue.1
, pp. 133-140
-
-
Ueda, N.1
Nakano, R.2
Ghahramani, Z.3
Hinton, G.4
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