-
1
-
-
0015385037
-
Nonlinear bayesian estimation using gaussian sum approximations
-
D. L. Alspach and H. W. Sorenson. Nonlinear bayesian estimation using gaussian sum approximations. IEEE Transactions on Automatic Control, 17(4):439-448, 1972.
-
(1972)
IEEE Transactions on Automatic Control
, vol.17
, Issue.4
, pp. 439-448
-
-
Alspach, D.L.1
Sorenson, H.W.2
-
4
-
-
0000761439
-
Markov chain Monte Carlo in conditionally Gaussian state space models
-
C. Carter and R. Kohn. Markov chain Monte Carlo in conditionally Gaussian state space models. Biometrika, 83:589-601, 1996.
-
(1996)
Biometrika
, vol.83
, pp. 589-601
-
-
Carter, C.1
Kohn, R.2
-
5
-
-
33845250972
-
A generative model for music transcription
-
A. T. Cemgil, B. Kappen, and D. Barber. A Generative Model for Music Transcription. IEEE Transactions on Audio, Speech and Language Processing, 14(2): 679-694, 2006.
-
(2006)
IEEE Transactions on Audio, Speech and Language Processing
, vol.14
, Issue.2
, pp. 679-694
-
-
Cemgil, A.T.1
Kappen, B.2
Barber, D.3
-
9
-
-
0001646121
-
Variational learning for switching state-space models
-
Z. Ghahramani and G. E. Hinton. Variational learning for switching state-space models. Neural Computation, 12(4):963-996, 1998.
-
(1998)
Neural Computation
, vol.12
, Issue.4
, pp. 963-996
-
-
Ghahramani, Z.1
Hinton, G.E.2
-
11
-
-
27344435412
-
Expectation propagation for approximate inference in dynamic Bayesian networks
-
A. Darwiche and N. Friedman, editors
-
T. Heskes and O. Zoeter. Expectation propagation for approximate inference in dynamic Bayesian networks. In A. Darwiche and N. Friedman, editors, Uncertainty in Artificial Intelligence, pages 216-223, 2002.
-
(2002)
Uncertainty in Artificial Intelligence
, pp. 216-223
-
-
Heskes, T.1
Zoeter, O.2
-
12
-
-
33749044832
-
A variational approach to Bayesian logistic regression problems and their extensions
-
T. Jaakkola and M. Jordan. A variational approach to Bayesian logistic regression problems and their extensions. In Artificial Intelligence and Statistics, 1996.
-
(1996)
Artificial Intelligence and Statistics
-
-
Jaakkola, T.1
Jordan, M.2
-
15
-
-
0002634803
-
Dynamic linear models with Markov-switching
-
C-J. Kim. Dynamic linear models with Markov-switching. Journal of Econometrics, 60:1-22, 1994.
-
(1994)
Journal of Econometrics
, vol.60
, pp. 1-22
-
-
Kim, C.-J.1
-
17
-
-
0001361993
-
The two-filter formula for smoothing and an implementation of the Gaussian-sum smoother
-
G. Kitagawa. The two-filter formula for smoothing and an implementation of the Gaussian-sum smoother. Annals of the Institute of Statistical Mathematics, 46(4):605-623, 1994.
-
(1994)
Annals of the Institute of Statistical Mathematics
, vol.46
, Issue.4
, pp. 605-623
-
-
Kitagawa, G.1
-
18
-
-
0030304310
-
Monte Carlo filter and smoother for non-Gaussian nonlinear state space models
-
G. Kitagawa. Monte Carlo filter and smoother for non-Gaussian nonlinear state space models. Journal of Computational and Graphical Statistics, 5(1): 1-25, 1996.
-
(1996)
Journal of Computational and Graphical Statistics
, vol.5
, Issue.1
, pp. 1-25
-
-
Kitagawa, G.1
-
19
-
-
0041377763
-
Stable local computation with conditional Gaussian distributions
-
S. Lauritzen and F. Jensen. Stable local computation with conditional Gaussian distributions. Statistics and Computing, 11:191-203, 2001.
-
(2001)
Statistics and Computing
, vol.11
, pp. 191-203
-
-
Lauritzen, S.1
Jensen, F.2
-
20
-
-
84950442428
-
Propagation of probabilities, means, and variances in mixed graphical association models
-
S. L. Lauritzen. Propagation of probabilities, means, and variances in mixed graphical association models. Journal of the American Statistical Association, 87(420): 1098-1108, 1992.
-
(1992)
Journal of the American Statistical Association
, vol.87
, Issue.420
, pp. 1098-1108
-
-
Lauritzen, S.L.1
-
21
-
-
4544260432
-
A multimodal variational approach to learning and inference in switching state space models
-
L. J. Lee, H. Attias, Li Deng, and P. Fieguth. A multimodal variational approach to learning and inference in switching state space models. In IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 04), volume 5, pages 505-8, 2004.
-
(2004)
IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 04)
, vol.5
, pp. 505-508
-
-
Lee, L.J.1
Attias, H.2
Deng, L.3
Fieguth, P.4
-
22
-
-
85133380236
-
Bayesian fault detection and diagnosis in dynamic systems
-
U. Lerner, R. Parr, D. Koller, and G. Biswas. Bayesian fault detection and diagnosis in dynamic systems. In Proceedings of the Seventeenth National Conference on Artificial Intelligence (AIII-00), pages 531-537, 2000.
-
(2000)
Proceedings of the Seventeenth National Conference on Artificial Intelligence (AIII-00)
, pp. 531-537
-
-
Lerner, U.1
Parr, R.2
Koller, D.3
Biswas, G.4
-
29
-
-
0024610919
-
A tutorial on hidden Markov models and selected applications in speech recognition
-
L. R. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. Proc. of the IEEE, 77(2):257-286, 1989.
-
(1989)
Proc. of the IEEE
, vol.77
, Issue.2
, pp. 257-286
-
-
Rabiner, L.R.1
-
30
-
-
21644483999
-
Maximum likelihood estimates of linear dynamic systems
-
H. E. Rauch, G. Tung, and C. T. Striebel. Maximum likelihood estimates of linear dynamic systems. American Institute of Aeronautics and Astronautics Journal (AIAAJ), 3(8): 1445-1450, 1965.
-
(1965)
American Institute of Aeronautics and Astronautics Journal (AIAAJ)
, vol.3
, Issue.8
, pp. 1445-1450
-
-
Rauch, H.E.1
Tung, G.2
Striebel, C.T.3
-
31
-
-
0033556862
-
A unifying review of linear Gaussian models
-
S. Roweis and Z. Ghahramani. A unifying review of linear Gaussian models. Neural Computation, 11(2):305-345, 1999.
-
(1999)
Neural Computation
, vol.11
, Issue.2
, pp. 305-345
-
-
Roweis, S.1
Ghahramani, Z.2
-
33
-
-
17744411678
-
Nonparametric belief propagation
-
E. B. Sudderth, A. T. Ihler, W. T. Freeman, and A. S. Willsky. Nonparametric belief propagation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, volume 1, pages 605-612, 2003.
-
(2003)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, vol.1
, pp. 605-612
-
-
Sudderth, E.B.1
Ihler, A.T.2
Freeman, W.T.3
Willsky, A.S.4
-
36
-
-
0001560241
-
Numerical aspects of different Kalman filter implementations
-
M. Verhaegen and P. Van Dooren. Numerical aspects of different Kalman filter implementations. IEEE Transactions of Automatic Control, 31(10):907-917, 1986.
-
(1986)
IEEE Transactions of Automatic Control
, vol.31
, Issue.10
, pp. 907-917
-
-
Verhaegen, M.1
Van Dooren, P.2
|