-
1
-
-
0023776396
-
A new algorithm for the estimation of hidden Markov model parameters
-
L. R. Bahl, P. F. Brown, P. V. de Souza, and R. L. Mercer. A new algorithm for the estimation of hidden Markov model parameters. In Proceedings of ICASSP, pages 493-496, 1988.
-
(1988)
Proceedings of ICASSP
, pp. 493-496
-
-
Bahl, L.R.1
Brown, P.F.2
De Souza, P.V.3
Mercer, R.L.4
-
2
-
-
0000582521
-
Statistical analysis of non-lattice data
-
ISSN 0039-0526
-
J. Besag. Statistical analysis of non-lattice data. The Statistician, 24(3):179-195, 1975. ISSN 0039-0526.
-
(1975)
The Statistician
, vol.24
, Issue.3
, pp. 179-195
-
-
Besag, J.1
-
3
-
-
0017751656
-
Efficiency of pseudolikelihood estimation for simple Gaussian fields
-
ISSN 0006-3444
-
J. Besag. Efficiency of pseudolikelihood estimation for simple Gaussian fields. Biometrika, 64(3):616-618, 1977. ISSN 0006-3444.
-
(1977)
Biometrika
, vol.64
, Issue.3
, pp. 616-618
-
-
Besag, J.1
-
6
-
-
80052128712
-
Choosing a variable to clamp: Approximate inference using conditioned belief propagation
-
F. Eaton and Z. Ghahramani. Choosing a variable to clamp: Approximate inference using conditioned belief propagation. In Proceedings of AISTATS, 2009.
-
(2009)
Proceedings of AISTATS
-
-
Eaton, F.1
Ghahramani, Z.2
-
9
-
-
34548413443
-
Training conditional random fields for maximum labelwise accuracy
-
S. Gross, O. Russakovsky, C. Do, and S. Batzoglou. Training conditional random fields for maximum labelwise accuracy. Advances in Neural Information Processing Systems, 19:529, 2007.
-
(2007)
Advances in Neural Information Processing Systems
, vol.19
, pp. 529
-
-
Gross, S.1
Russakovsky, O.2
Do, C.3
Batzoglou, S.4
-
10
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
ISSN 0899-7667
-
G.E. Hinton, S. Osindero, and Y.W. Teh. A fast learning algorithm for deep belief nets. Neural computation, 18(7):1527-1554, 2006. ISSN 0899-7667.
-
(2006)
Neural Computation
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.W.3
-
14
-
-
35148893484
-
A tutorial on energy-based learning
-
G. Bakir, T. Hofman, B. Schlkopf, A. Smola, and B. Taskar, editors. MIT Press
-
Y. LeCun, S. Chopra, R. Hadsell, M. Ranzato, and F. Huang. A tutorial on energy-based learning. In G. Bakir, T. Hofman, B. Schlkopf, A. Smola, and B. Taskar, editors, Predicting Structured Data. MIT Press, 2006.
-
(2006)
Predicting Structured Data
-
-
Lecun, Y.1
Chopra, S.2
Hadsell, R.3
Ranzato, M.4
Huang, F.5
-
16
-
-
80053275857
-
First- and second-order expectation semirings with applications to minimum-risk training on translation forests
-
Z. Li and J. Eisner. First- and second-order expectation semirings with applications to minimum-risk training on translation forests. In Proc. of EMNLP, pages 40-51, 2009.
-
(2009)
Proc. of EMNLP
, pp. 40-51
-
-
Li, Z.1
Eisner, J.2
-
17
-
-
80053270665
-
Empirical risk minimization is an incomplete inductive principle
-
August
-
T. Minka. Empirical risk minimization is an incomplete inductive principle. MIT Media Lab note, August 2000.
-
(2000)
MIT Media Lab Note
-
-
Minka, T.1
-
18
-
-
77956951736
-
LibDAI: A free and open source C++ library for discrete approximate inference in graphical models
-
Aug
-
J. Mooij. libDAI: A free and open source C++ library for discrete approximate inference in graphical models. Journal of Machine Learning Research, 11:2169-2173, Aug 2010.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 2169-2173
-
-
Mooij, J.1
-
19
-
-
84944098666
-
Minimum error rate training in statistical machine translation
-
F. Och. Minimum error rate training in statistical machine translation. In Proceedings of ACL, 2003.
-
(2003)
Proceedings of ACL
-
-
Och, F.1
-
21
-
-
0000255539
-
Fast exact multiplication by the Hessian
-
B. Pearlmutter. Fast exact multiplication by the Hessian. Neural Computation, 6:147-160, 1994.
-
(1994)
Neural Computation
, vol.6
, pp. 147-160
-
-
Pearlmutter, B.1
-
25
-
-
84860500490
-
Training conditional random fields with multivariate evaluation measures
-
J. Suzuki, E. McDermott, and H. Isozaki. Training conditional random fields with multivariate evaluation measures. In Proceedings of COLING/ACL, pages 217-224, 2006.
-
(2006)
Proceedings of COLING/ACL
, pp. 217-224
-
-
Suzuki, J.1
McDermott, E.2
Isozaki, H.3
-
26
-
-
33749243756
-
Accelerated training of conditional random fields with stochastic gradient methods
-
ACM
-
S.V.N. Vishwanathan, N.N. Schraudolph, M.W. Schmidt, and K.P. Murphy. Accelerated training of conditional random fields with stochastic gradient methods. In Proceedings of the 23rd International Conference on Machine Learning, pages 969-976. ACM, 2006.
-
(2006)
Proceedings of the 23rd International Conference on Machine Learning
, pp. 969-976
-
-
Vishwanathan, S.V.N.1
Schraudolph, N.N.2
Schmidt, M.W.3
Murphy, K.P.4
-
27
-
-
33748685798
-
Estimating the "wrong " graphical model: Benefits in the computation-limited setting
-
September
-
M. J. Wainwright. Estimating the "wrong" graphical model: Benefits in the computation-limited setting. Journal of Machine Learning Research, 7: 1829-1859, September 2006.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1829-1859
-
-
Wainwright, M.J.1
-
28
-
-
0001202594
-
A learning algorithm for continually running fully recurrent neural networks
-
ISSN 0899-7667
-
R.J. Williams and D. Zipser. A learning algorithm for continually running fully recurrent neural networks. Neural Computation, 1(2):270-280, 1989. ISSN 0899-7667.
-
(1989)
Neural Computation
, vol.1
, Issue.2
, pp. 270-280
-
-
Williams, R.J.1
Zipser, D.2
-
29
-
-
0042957525
-
Bethe free energy, Kikuchi approximations and belief propagation algorithms
-
J. Yedidia, W. Freeman, and Y. Weiss. Bethe free energy, Kikuchi approximations and belief propagation algorithms. Technical Report TR2001-16, Mitsubishi Electric Research Laboratories, 2000.
-
(2000)
Technical Report TR2001-16, Mitsubishi Electric Research Laboratories
-
-
Yedidia, J.1
Freeman, W.2
Weiss, Y.3
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