-
1
-
-
17644428305
-
Propagation of uncertainty in Bayesian kernel models-application to multiple-step ahead forecasting
-
IEEE
-
J.Q. Candela, A. Girard, J. Larsen, and C.E. Rasmussen, Propagation of uncertainty in bayesian kernel models-application to multiple-step ahead forecasting, in ICASSP, vol. 2, IEEE, 2003, pp. II-701.
-
(2003)
ICASSP
, vol.2
, pp. II-701
-
-
Candela, J.Q.1
Girard, A.2
Larsen, J.3
Rasmussen, C.E.4
-
2
-
-
34147112845
-
Simulation-based sequential analysis of markov switching stochastic volatility models
-
C.M. Carvalho and H.F. Lopes, Simulation-based sequential analysis of markov switching stochastic volatility models, Computational Statistics & Data Analysis, 51 (2007), pp. 4526-4542.
-
(2007)
Computational Statistics & Data Analysis
, vol.51
, pp. 4526-4542
-
-
Carvalho, C.M.1
Lopes, H.F.2
-
3
-
-
33745787726
-
Multistep-ahead time series prediction
-
H. Cheng, P.N. Tan, J. Gao, and J. Scripps, Multistep-ahead time series prediction, Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining, (2006), pp. 765-774.
-
(2006)
Proceedings of the 10th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
, pp. 765-774
-
-
Cheng, H.1
Tan, P.N.2
Gao, J.3
Scripps, J.4
-
4
-
-
71149106437
-
Analytic moment-based Gaussian process filtering
-
ACM
-
M.P. Deisenroth, M.F. Huber, and U.D. Hanebeck, Analytic moment-based gaussian process filtering, in ICML, ACM, 2009, pp. 225-232.
-
(2009)
ICML
, pp. 225-232
-
-
Deisenroth, M.P.1
Huber, M.F.2
Hanebeck, U.D.3
-
5
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
Laird N.M. Rubin D.B Dempster, A.P., Maximum likelihood from incomplete data via the em algorithm, in Journal of the Royal Statistical Society. Series B (Methodological), vol. 39 of 1, 1977, pp. 1-38.
-
(1977)
Journal of the Royal Statistical Society. Series B (Methodological)
, vol.39
, Issue.1
, pp. 1-38
-
-
Laird, N.M.1
Rubin, D.B.2
Dempster, A.P.3
-
8
-
-
0001247687
-
Exact numerical simulation of the ornstein-uhlenbeck process and its integral
-
Daniel T. Gillespie, Exact numerical simulation of the ornstein-uhlenbeck process and its integral, Phys. Rev. E, 54 (1996), pp. 2084-2091.
-
(1996)
Phys. Rev. e
, vol.54
, pp. 2084-2091
-
-
Gillespie, D.T.1
-
9
-
-
84964982129
-
Conditional outlier detection for clinical alerting
-
M. Hauskrecht, M. Valko, I. Batal, G. Clermont, S. Visweswaran, and G.F. Cooper, Conditional outlier detection for clinical alerting, in AMIA Annual Symposium Proceedings, vol. 2010, American Medical Informatics Association, 2010, p. 286.
-
(2010)
AMIA Annual Symposium Proceedings, 2010, American Medical Informatics Association
, pp. 286
-
-
Hauskrecht, M.1
Valko, M.2
Batal, I.3
Clermont, G.4
Visweswaran, S.5
Cooper, G.F.6
-
10
-
-
85024429815
-
A new approach to linear filtering and prediction problem
-
R. E. Kalman, A new approach to linear filtering and prediction problem, in Transactions of the ASMEJournal of Basic Engineering, no. 82 in D, 1960, pp. 35-45.
-
(1960)
Transactions of the ASMEJournal of Basic Engineering
, Issue.82 D
, pp. 35-45
-
-
Kalman, R.E.1
-
11
-
-
79951555580
-
Learning gp-bayes filters via Gaussian process latent variable models
-
J. Ko and D. Fox, Learning gp-bayes filters via gaussian process latent variable models, Autonomous Robots, 30 (2011), pp. 3-23.
-
(2011)
Autonomous Robots
, vol.30
, pp. 3-23
-
-
Ko, J.1
Fox, D.2
-
13
-
-
79952974433
-
Local Gaussian process regression for real time online model learning and control
-
Citeseer
-
D. Nguyen-tuong and J. Peters, Local gaussian process regression for real time online model learning and control, in NIPS, Citeseer, 2008.
-
(2008)
NIPS
-
-
Nguyen-Tuong, D.1
Peters, J.2
-
15
-
-
84899026055
-
Gaussian processes in reinforcement learning
-
C.E. Rasmussen, M. Kuss, et al., Gaussian processes in reinforcement learning, NIPS, 16 (2004).
-
(2004)
NIPS
, vol.16
-
-
Rasmussen, C.E.1
Kuss, M.2
-
18
-
-
84986753417
-
An approach to time series smoothing and forecasting using the em algorithm
-
R. H. Shumway and D. S. Stoffer, An approach to time series smoothing and forecasting using the em algorithm, Journal of Time Series Analysis, 3 (1982), pp. 253-264.
-
(1982)
Journal of Time Series Analysis
, vol.3
, pp. 253-264
-
-
Shumway, R.H.1
Stoffer, D.S.2
-
19
-
-
84862287145
-
State-space inference and learning with Gaussian processes
-
R. Turner, M.P. Deisenroth, and C.E. Rasmussen, State-space inference and learning with gaussian processes, in AISTATS, vol. 9, 2010, pp. 868-875.
-
(2010)
AISTATS
, vol.9
, pp. 868-875
-
-
Turner, R.1
Deisenroth, M.P.2
Rasmussen, C.E.3
-
20
-
-
84856027177
-
Feature importance analysis for patient management decisions
-
Michal Valko and Milos Hauskrecht, Feature importance analysis for patient management decisions, in MEDINFO, 2010.
-
(2010)
MEDINFO
-
-
Valko, M.1
Hauskrecht, M.2
-
21
-
-
0007994116
-
Learning switching linear models of human motion
-
James M. Rehg Vladimir Pavlovic and John MacCormick, Learning switching linear models of human motion, in NIPS, 2000.
-
(2000)
NIPS
-
-
Rehg, J.M.1
Pavlovic, V.2
MacCormick, J.3
-
22
-
-
37549055132
-
Gaussian process dynamical models for human motion
-
J.M. Wang, D.J. Fleet, and A. Hertzmann, Gaussian process dynamical models for human motion, Pattern Analysis and Machine Intelligence, IEEE Transactions on, 30 (2008), pp. 283-298.
-
(2008)
Pattern Analysis and Machine Intelligence, IEEE Transactions on
, vol.30
, pp. 283-298
-
-
Wang, J.M.1
Fleet, D.J.2
Hertzmann, A.3
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