-
1
-
-
0141607824
-
Latent dirichlet allocation
-
Mar.
-
D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent Dirichlet allocation, " Journal of Machine Learning Research, vol. 3, pp. 993-1022, Mar. 2003.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 993-1022
-
-
Blei, D.M.1
Ng, A.Y.2
Jordan, M.I.3
-
2
-
-
85032751708
-
Probabilistic topic models
-
Nov.
-
D. Blei, L. Carin, and D. Dunson, "Probabilistic topic models, " IEEE Signal Processing Magazine, vol. 27, no. 6, pp. 55-65, Nov. 2010.
-
(2010)
IEEE Signal Processing Magazine
, vol.27
, Issue.6
, pp. 55-65
-
-
Blei, D.1
Carin, L.2
Dunson, D.3
-
3
-
-
85008583707
-
Topic-based hierarchical segmentation
-
J.-T. Chien and C.-H. Chueh, "Topic-based hierarchical segmentation, " IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 1, pp. 55-66, 2012.
-
(2012)
IEEE Transactions on Audio, Speech and Language Processing
, vol.20
, Issue.1
, pp. 55-66
-
-
Chien, J.-T.1
Chueh, C.-H.2
-
4
-
-
78149256857
-
Dirichlet class language models for speech recognition
-
J.-T. Chien and C.-H. Chueh, "Dirichlet class language models for speech recognition, " IEEE Transactions on Audio, Speech and Language Processing, vol. 19, no. 3, pp. 482-495, 2011.
-
(2011)
IEEE Transactions on Audio, Speech and Language Processing
, vol.19
, Issue.3
, pp. 482-495
-
-
Chien, J.-T.1
Chueh, C.-H.2
-
5
-
-
84930629832
-
Hierarchical pitman-yor-dirichlet language model
-
J.-T. Chien, "Hierarchical Pitman-Yor-Dirichlet language model, " IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 23, no. 8, pp. 1259-1272, 2015.
-
(2015)
IEEE/ACM Transactions on Audio, Speech and Language Processing
, vol.23
, Issue.8
, pp. 1259-1272
-
-
Chien, J.-T.1
-
6
-
-
70349200751
-
Latent dirichlet learning for document summarization
-
Y.-L. Chang and J.-T. Chien, "Latent Dirichlet learning for document summarization, " in Proc. of International Conference on Acoustics, Speech, and Signal Processing, 2009, pp. 1689-1692.
-
(2009)
Proc. of International Conference on Acoustics, Speech, and Signal Processing
, pp. 1689-1692
-
-
Chang, Y.-L.1
Chien, J.-T.2
-
7
-
-
60549085346
-
Adaptive Bayesian latent semantic analysis
-
Jan
-
J.-T. Chien and M.-S. Wu, "Adaptive Bayesian latent semantic analysis, " IEEE Transactions on Audio, Speech and Language Processing, vol. 16, no. 1, pp. 198-207, Jan 2008.
-
(2008)
IEEE Transactions on Audio, Speech and Language Processing
, vol.16
, Issue.1
, pp. 198-207
-
-
Chien, J.-T.1
Wu, M.-S.2
-
9
-
-
79957489009
-
DiscLDA: Discriminative learning for dimensionality reduction and classification
-
D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, Eds.
-
S. Lacoste-Julien, F. Sha, and M. I. Jordan, "DiscLDA: discriminative learning for dimensionality reduction and classification, " in Advances in Neural Information Processing Systems (NIPS), D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, Eds., 2008, pp. 897-904.
-
(2008)
Advances in Neural Information Processing Systems (NIPS)
, pp. 897-904
-
-
Lacoste-Julien, S.1
Sha, F.2
Jordan, M.I.3
-
10
-
-
70450178502
-
Simultaneous image classification and annotation
-
C. Wang, D. Blei, and F.-F. Li, "Simultaneous image classification and annotation, " in Proc. of IEEE Conference on Computer Vision and Pattern Recognition, 2009, pp. 1903-1910.
-
(2009)
Proc. of IEEE Conference on Computer Vision and Pattern Recognition
, pp. 1903-1910
-
-
Wang, C.1
Blei, D.2
Li, F.-F.3
-
11
-
-
84869186087
-
MedLDA: Maximum margin supervised topic models
-
J. Zhu, A. Ahmed, and E. P. Xing, "MedLDA: maximum margin supervised topic models, " Journal of Machine Learning Research, vol. 13, no. 1, pp. 2237-2278, 2012.
-
(2012)
Journal of Machine Learning Research
, vol.13
, Issue.1
, pp. 2237-2278
-
-
Zhu, J.1
Ahmed, A.2
Xing, E.P.3
-
12
-
-
84973370602
-
-
arXiv: 1508. 03398
-
J. Chen, J. He, Y. Shen, L. Xiao, X. He, J. Gao, X. Song, and L. Deng, "End-to-end learning of latent Dirichlet allocation by mirror-descent back propagation, " arXiv: 1508. 03398, 2015.
-
(2015)
End-to-end Learning of Latent Dirichlet Allocation by Mirror-descent Back Propagation
-
-
Chen, J.1
He, J.2
Shen, Y.3
Xiao, L.4
He, X.5
Gao, J.6
Song, X.7
Deng, L.8
-
13
-
-
84973380167
-
Maximum likelihood from incomplete data via the em algorithm
-
Jan.
-
A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm, " Journal of the Royal Statistical Society. Series B (Methodological), vol. 39, no. 1, pp. 1-38, Jan. 1977.
-
(1977)
Journal of the Royal Statistical Society. Series B (Methodological)
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
16
-
-
84862282438
-
Empirical risk minimization of graphical model parameters given approximate inference, decoding, and model structure
-
V. Stoyanov, A. Ropson, and J. Eisner, "Empirical risk minimization of graphical model parameters given approximate inference, decoding, and model structure, " in Proc. of International Conference on Artificial Intelligence and Statistics, 2011, pp. 725-733.
-
(2011)
Proc. of International Conference on Artificial Intelligence and Statistics
, pp. 725-733
-
-
Stoyanov, V.1
Ropson, A.2
Eisner, J.3
-
17
-
-
33748685798
-
Estimating the wrong graphical model: Benefits in the computation-limited setting
-
M. J. Wainwright, "Estimating the "wrong" graphical model: benefits in the computation-limited setting, " Journal of Machine Learning Research, vol. 7, pp. 1829-1859, 2006.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1829-1859
-
-
Wainwright, M.J.1
-
18
-
-
33845597672
-
Principled hybrids of generative and discriminative models
-
J. Lasserre, C. M. Bishop, and T. P. Minka, "Principled hybrids of generative and discriminative models, " in Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2006, vol. 1, pp. 87-94.
-
(2006)
Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)
, vol.1
, pp. 87-94
-
-
Lasserre, J.1
Bishop, C.M.2
Minka, T.P.3
-
22
-
-
0008815681
-
Exponentiated gradient versus gradient descent for linear predictors
-
J. Kivinen and M. K. Warmuth, "Exponentiated gradient versus gradient descent for linear predictors, " Information and Computation, vol. 132, no. 1, pp. 1-63, 1997.
-
(1997)
Information and Computation
, vol.132
, Issue.1
, pp. 1-63
-
-
Kivinen, J.1
Warmuth, M.K.2
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