-
1
-
-
33847128509
-
A closed-form solution for the probability hypothesis density filter
-
B.-N, V., and Ma, W.-K. 2005. A closed-form solution for the probability hypothesis density filter. In Proc. Int'l Conf. on Information Fusion, volume 2, 25-28.
-
(2005)
Proc. Int'l Conf. on Information Fusion
, vol.2
, pp. 25-28
-
-
V, B.-N.1
Ma, W.-K.2
-
2
-
-
84898903970
-
Sequential monte carlo implementation of the PHD filter for multi-target tracking
-
792799
-
B.-N, V.; S., S.; and A., D. 2003. Sequential monte carlo implementation of the PHD filter for multi-target tracking. In Proc. Int'l Conf. on Information Fusion, 792799.
-
(2003)
Proc. Int'l Conf. on Information Fusion
-
-
V, B.-N.1
S, S.2
D, A.3
-
4
-
-
25444511903
-
Nonparametric Bayesian logic
-
Carbonetto, P.; Kisynski, J.; de Freitas, N.; and Poole, D. 2005. Nonparametric Bayesian logic. In UAI, 85-93.
-
(2005)
UAI
, pp. 85-93
-
-
Carbonetto, P.1
Kisynski, J.2
De Freitas, N.3
Poole, D.4
-
5
-
-
80053440619
-
Infinite dynamic Bayesian networks
-
Doshi, F.; Wingate, D.; Tenenbaum, J. B.; and Roy, N. 2011. Infinite dynamic Bayesian networks. In ICML, 913-920.
-
(2011)
ICML
, pp. 913-920
-
-
Doshi, F.1
Wingate, D.2
Tenenbaum, J.B.3
Roy, N.4
-
6
-
-
77958539351
-
The infinite partially observable Markov decision process
-
Doshi-Velez, F. 2009. The infinite partially observable Markov decision process. In NIPS, 477-485.
-
(2009)
NIPS
, pp. 477-485
-
-
Doshi-Velez, F.1
-
7
-
-
84858786659
-
The infinite factorial hidden Markov model
-
Gael, J. V.; Teh, Y. W.; and Ghahramani, Z. 2008. The infinite factorial hidden Markov model. In NIPS, 1697-1704.
-
(2008)
NIPS
, pp. 1697-1704
-
-
Gael, J.V.1
Teh, Y.W.2
Ghahramani, Z.3
-
8
-
-
70049098573
-
Church: A language for generative models
-
Goodman, N. D.; Mansinghka, V. K.; Roy, D. M.; Bonawitz, K.; and Tenenbaum, J. B. 2008. Church: a language for generative models. In UAI, 220-229.
-
(2008)
UAI
, pp. 220-229
-
-
Goodman, N.D.1
Mansinghka, V.K.2
Roy, D.M.3
Bonawitz, K.4
Tenenbaum, J.B.5
-
10
-
-
77956889087
-
Reversible jump Markov chain monte carlo computation and Bayesian model determination
-
Green, P. J. 1995. Reversible jump Markov chain monte carlo computation and Bayesian model determination. Biometrika 82(4):711-732.
-
(1995)
Biometrika
, vol.82
, Issue.4
, pp. 711-732
-
-
Green, P.J.1
-
12
-
-
77956890234
-
Monte Carlo sampling methods using Markov chains and their applications
-
Hastings, W. K. 1970. Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57(1):97-109.
-
(1970)
Biometrika
, vol.57
, Issue.1
, pp. 97-109
-
-
Hastings, W.K.1
-
13
-
-
71149086468
-
Approximate inference for planning in stochastic relational worlds
-
Lang, T., and Toussaint, M. 2009. Approximate inference for planning in stochastic relational worlds. In ICML, 74.
-
(2009)
ICML
, pp. 74
-
-
Lang, T.1
Toussaint, M.2
-
18
-
-
84880739933
-
Blog: Probabilistic models with unknown objects
-
Milch, B.; Marthi, B.; Russell, S. J.; Sontag, D.; Ong, D. L.; and Kolobov, A. 2005. Blog: Probabilistic models with unknown objects. In IJCAI, 1352-1359.
-
(2005)
IJCAI
, pp. 1352-1359
-
-
Milch, B.1
Marthi, B.2
Russell, S.J.3
Sontag, D.4
Ong, D.L.5
Kolobov, A.6
-
20
-
-
1642275518
-
Multi-target particle filtering for the probability hypothesis density
-
Sidenbladh, H. 2003. Multi-target particle filtering for the probability hypothesis density. In Proc. Int'l Conf. on Information Fusion, 279-290.
-
(2003)
Proc. Int'l Conf. on Information Fusion
, pp. 279-290
-
-
Sidenbladh, H.1
-
21
-
-
84862705530
-
Abstract planning with unknown object quantities and properties
-
Srivastava, S.; Immerman, N.; and Zilberstein, S. 2009. Abstract planning with unknown object quantities and properties. In SARA.
-
(2009)
SARA
-
-
Srivastava, S.1
Immerman, N.2
Zilberstein, S.3
-
22
-
-
34547976747
-
Sharing clusters among related groups: Hierarchical dirichlet processes
-
Teh, Y. W.; Jordan, M. I.; Beal, M. J.; and Blei, D. M. 2004. Sharing clusters among related groups: Hierarchical dirichlet processes. In NIPS.
-
(2004)
NIPS
-
-
Teh, Y.W.1
Jordan, M.I.2
Beal, M.J.3
Blei, D.M.4
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