-
1
-
-
0001249662
-
AIS-BN: An adaptive importance sampling algorithm for evidential reasoning in large bayesian networks
-
J. Cheng and M. Druzdzel. AIS-BN: An adaptive importance sampling algorithm for evidential reasoning in large bayesian networks. Journal of Artificial Intelligence Research, 2000.
-
(2000)
Journal of Artificial Intelligence Research
-
-
Cheng, J.1
Druzdzel, M.2
-
2
-
-
33750082644
-
DRAM: Efficient adaptive MCMC
-
H. Haario, M. Laine, A. Mira, and E. Saksman. DRAM: efficient adaptive MCMC. Statistics and Computing, 16(4):339-354, 2006.
-
(2006)
Statistics and Computing
, vol.16
, Issue.4
, pp. 339-354
-
-
Haario, H.1
Laine, M.2
Mira, A.3
Saksman, E.4
-
3
-
-
0007178970
-
A monte carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques
-
L. D. Hernandez, S. Moral, and A. Salmeron. A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques. International Journal of Approximate Reasoning, 18(1):53-91, 1998.
-
(1998)
International Journal of Approximate Reasoning
, vol.18
, Issue.1
, pp. 53-91
-
-
Hernandez, L.D.1
Moral, S.2
Salmeron, A.3
-
4
-
-
0017478996
-
Understanding image intensities
-
B. K. Horn. Understanding image intensities. Artificial intelligence, 8(2):201-231, 1977.
-
(1977)
Artificial Intelligence
, vol.8
, Issue.2
, pp. 201-231
-
-
Horn, B.K.1
-
5
-
-
77952699200
-
Join-graph propagation algorithms
-
R. Mateescu, K. Kask, V. Gogate, and R. Dechter. Join-graph propagation algorithms. Journal of Artificial Intelligence Research, 37(1):279-328, 2010.
-
(2010)
Journal of Artificial Intelligence Research
, vol.37
, Issue.1
, pp. 279-328
-
-
Mateescu, R.1
Kask, K.2
Gogate, V.3
Dechter, R.4
-
10
-
-
0034302667
-
Importance sampling in Bayesian networks using probability trees
-
Oct
-
A. Salmeron, A. Cano, and S. Moral. Importance sampling in Bayesian networks using probability trees. Computational Statistics and Data Analysis, 34(4):387-413, Oct. 2000.
-
(2000)
Computational Statistics and Data Analysis
, vol.34
, Issue.4
, pp. 387-413
-
-
Salmeron, A.1
Cano, A.2
Moral, S.3
-
11
-
-
84881091351
-
Reconciling intuitive physics and newtonian mechanics for colliding objects
-
Apr
-
A. N. Sanborn, V. K. Mansinghka, and T. L. Griffiths. Reconciling intuitive physics and Newtonian mechanics for colliding objects. Psychological Review, 120(2):411, Apr. 2013.
-
(2013)
Psychological Review
, vol.120
, Issue.2
, pp. 411
-
-
Sanborn, A.N.1
Mansinghka, V.K.2
Griffiths, T.L.3
-
12
-
-
0001203638
-
Simulation approaches to general probabilistic inference on belief networks
-
New York, NY, Elsevier Science
-
R. D. Shachter and M. A. Peot. Simulation approaches to general probabilistic inference on belief networks. In Proc. of the 5th Ann. Conf. on Uncertainty in A.I. (UAI-89), pages 311-318, New York, NY, 1989. Elsevier Science.
-
(1989)
Proc. of the 5th Ann. Conf. on Uncertainty in A.I. (UAI-89
, pp. 311-318
-
-
Shachter, R.D.1
Peot, M.A.2
-
13
-
-
0035291353
-
When sound affects vision: Effects of auditory grouping on visual motion perception
-
K. Watanabe and S. Shimojo. When sound affects vision: effects of auditory grouping on visual motion perception. Psychological Science, 12(2):109-116, 2001.
-
(2001)
Psychological Science
, vol.12
, Issue.2
, pp. 109-116
-
-
Watanabe, K.1
Shimojo, S.2
|