-
2
-
-
33845270980
-
Expectation correction for smoothed inference in switching linear dynamical systems
-
D. Barber Expectation correction for smoothed inference in switching linear dynamical systems Journal of Machine Learning Research 7 2006 2515 2540 (Pubitemid 44866739)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2515-2540
-
-
Barber, D.1
-
4
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
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 39 1 1977 1 38
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
6
-
-
17444410780
-
Software reliability modelling and prediction with hidden Markov chains
-
DOI 10.1191/1471082X05st87oa
-
J.-B. Durand, and O. Gaudoin Software reliability modelling and prediction with hidden Markov chains Statistical Modelling 5 1 2005 75 93 (Pubitemid 40549471)
-
(2005)
Statistical Modelling
, vol.5
, Issue.1
, pp. 75-93
-
-
Durand, J.-B.1
Gaudoin, O.2
-
12
-
-
0002049440
-
Learning dynamic bayesian networks
-
Adaptive Processing of Sequences and Data Structures
-
Ghahramani Z. Learning dynamic Bayesian networks. In: Adaptive processing of sequences and data structures, international summer school on neural networks, "E.R. Caianiello"-tutorial lectures. London, UK: Springer-Verlag; 1998. p. 168-97. (Pubitemid 128056031)
-
(1998)
Lecture Notes in Computer Science
, Issue.1387
, pp. 168-197
-
-
Ghahramani, Z.1
-
13
-
-
0001646121
-
Variational learning for switching state-space models
-
Z. Ghahramani, and G.E. Hinton Variational learning for switching state-space models Neural Computation 12 1998 963 996
-
(1998)
Neural Computation
, vol.12
, pp. 963-996
-
-
Ghahramani, Z.1
Hinton, G.E.2
-
14
-
-
84883335592
-
-
SIGKDD Explorations
-
Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH. The WEKA data mining software: an update, vol. 11, SIGKDD Explorations, 2009.
-
(2009)
The WEKA Data Mining Software: An Update
, vol.11
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
16
-
-
33845536164
-
The class imbalance problem a systematic study
-
N. Japkowicz, and S. Stephen The class imbalance problem a systematic study Intelligent Data Analysis 6 5 2002 429 449
-
(2002)
Intelligent Data Analysis
, vol.6
, Issue.5
, pp. 429-449
-
-
Japkowicz, N.1
Stephen, S.2
-
18
-
-
79955735775
-
Safety analysis in process facilities comparison of fault tree and Bayesian network approaches
-
N. Khakzad, F. Khan, and P. Amyotte Safety analysis in process facilities comparison of fault tree and Bayesian network approaches Reliability Engineering and System Safety 96 8 2011 925 932
-
(2011)
Reliability Engineering and System Safety
, vol.96
, Issue.8
, pp. 925-932
-
-
Khakzad, N.1
Khan, F.2
Amyotte, P.3
-
19
-
-
0031381525
-
Wrappers for feature subset selection
-
PII S000437029700043X
-
R. Kohavi, and G.H. John Wrappers for feature subset selection Artificial Intelligence 97 1-2 1997 273 324 (Pubitemid 127401107)
-
(1997)
Artificial Intelligence
, vol.97
, Issue.1-2
, pp. 273-324
-
-
Kohavi, R.1
John, G.H.2
-
20
-
-
34447618398
-
Risk-based reconfiguration of safety monitoring system using dynamic Bayesian network
-
DOI 10.1016/j.ress.2006.09.012, PII S0951832006002146, ESREL 2005
-
T. Kohda, and W. Cui Risk-based reconfiguration of safety monitoring system using dynamic Bayesian network Reliability Engineering and System Safety 92 12 2007 1716 1723 (Pubitemid 47088929)
-
(2007)
Reliability Engineering and System Safety
, vol.92
, Issue.12
, pp. 1716-1723
-
-
Kohda, T.1
Cui, W.2
-
21
-
-
21244496407
-
Latent classification models
-
H. Langseth, and T.D. Nielsen Latent classification models Machine Learning 59 3 2005 237 265 (Pubitemid 40890479)
-
(2005)
Machine Learning
, vol.59
, Issue.3
, pp. 237-265
-
-
Langseth, H.1
Nielsen, T.D.2
-
22
-
-
33748310590
-
Bayesian networks in reliability
-
DOI 10.1016/j.ress.2005.11.037, PII S0951832005001985
-
H. Langseth, and L. Portinale Bayesian networks in reliability Reliability Engineering and System Safety 92 1 2007 92 108 (Pubitemid 44332140)
-
(2007)
Reliability Engineering and System Safety
, vol.92
, Issue.1
, pp. 92-108
-
-
Langseth, H.1
Portinale, L.2
-
23
-
-
69549119986
-
Understanding video events a survey of methods for automatic interpretation of semantic occurrences in video
-
G. Lavee, E. Rivlin, and M. Rudzsky Understanding video events a survey of methods for automatic interpretation of semantic occurrences in video IEEE Transactions on Systems, Man, and Cybernetics Part C 39 5 2009 489 504
-
(2009)
IEEE Transactions on Systems, Man, and Cybernetics Part C
, vol.39
, Issue.5
, pp. 489-504
-
-
Lavee, G.1
Rivlin, E.2
Rudzsky, M.3
-
27
-
-
39749155904
-
Radyban: A tool for reliability analysis of dynamic fault trees through conversion into dynamic Bayesian networks
-
DOI 10.1016/j.ress.2007.03.013, PII S0951832007001056
-
S. Montani, L. Portinale, A. Bobbio, and D.C. Raiteri Radyban A tool for reliability analysis of dynamic fault trees through conversion into dynamic Bayesian networks Reliability Engineering and System Safety 93 7 2008 922 932 (Pubitemid 351305184)
-
(2008)
Reliability Engineering and System Safety
, vol.93
, Issue.7
, pp. 922-932
-
-
Montani, S.1
Portinale, L.2
Bobbio, A.3
Codetta-Raiteri, D.4
-
29
-
-
0024610919
-
A tutorial on hidden Markov models and selected applications in speech recognition
-
L. Rabiner A tutorial on hidden Markov models and selected applications in speech recognition Proceedings of the IEEE 77 2 1989 257 286
-
(1989)
Proceedings of the IEEE
, vol.77
, Issue.2
, pp. 257-286
-
-
Rabiner, L.1
-
31
-
-
0028667329
-
Hidden Markov models for fault detection in dynamic systems
-
DOI 10.1016/0031-3203(94)90024-8
-
P. Smyth Hidden Markov models for fault detection in dynamic system Pattern Recognition 27 1 1994 149 164 (Pubitemid 124017399)
-
(1994)
Pattern Recognition
, vol.27
, Issue.1
, pp. 149-164
-
-
Smyth, P.1
-
32
-
-
66749182851
-
Analysis of activities of daily living in elderly people living alone single-subject feasibility study
-
R. Suzuki, M. Ogawa, S. Otake, T. Izutsu, Y. Tobimatsu, and S.-I. Izumi Analysis of activities of daily living in elderly people living alone single-subject feasibility study Telemedicine Journal and E-Health 10 2 2004 260 276
-
(2004)
Telemedicine Journal and E-Health
, vol.10
, Issue.2
, pp. 260-276
-
-
Suzuki, R.1
Ogawa, M.2
Otake, S.3
Izutsu, T.4
Tobimatsu, Y.5
Izumi, S.-I.6
-
33
-
-
84948981656
-
Bayesian networks for reliability analysis of complex systems
-
Progress in Artificial Intelligence - IBERAMIA 98
-
Torres-Toledano JG, Sucar LE. Bayesian networks for reliability analysis of complex systems. In: Proceedings of the 6th Ibero-American conference on AI: progress in artificial intelligence, IBERAMIA '98, London, UK: Springer-Verlag; 1998. p. 195-206. (Pubitemid 128145621)
-
(1998)
Lecture Notes in Computer Science
, Issue.1484
, pp. 195-206
-
-
Torres-Toledano, J.G.1
Sucar, L.E.2
-
35
-
-
14844351034
-
Not so naive Bayes: Aggregating one-dependence estimators
-
DOI 10.1007/s10994-005-4258-6
-
G.I. Webb, J.R. Boughton, and Z. Wang Not so naïve Bayes aggregating one-dependence estimators Machine Learning 58 1 2005 5 24 (Pubitemid 40356736)
-
(2005)
Machine Learning
, vol.58
, Issue.1
, pp. 5-24
-
-
Webb, G.I.1
Boughton, J.R.2
Wang, Z.3
-
37
-
-
84883443410
-
On approximate inference of dynamic latent classification models for oil drilling monitoring
-
Presented at the
-
Zhong S. On approximate inference of dynamic latent classification models for oil drilling monitoring. Presented at the 9th Bayesian modeling applications (in conjunction with UAI-2012), 〈 http://www.abnms.org/ uai2012-apps-workshop/papers/Zhong.pdf 〉; 2012.
-
(2012)
9th Bayesian Modeling Applications (In Conjunction with UAI-2012)
-
-
Zhong, S.1
-
38
-
-
77951496019
-
Local-global-learning of naive Bayesian classifier
-
Washington, DC, USA: IEEE Computer Society
-
Zhong S, Langseth H. Local-global-learning of naive Bayesian classifier. In: Proceedings of the 2009 fourth international conference on innovative computing, information and control. Washington, DC, USA: IEEE Computer Society; 2009. p. 278-81.
-
(2009)
Proceedings of the 2009 Fourth International Conference on Innovative Computing, Information and Control
, pp. 278-281
-
-
Zhong, S.1
Langseth, H.2
|