-
2
-
-
0030283418
-
From statistical knowledge bases to degrees of belief
-
PII S0004370296000033
-
F. Bacchus, A.J. Grove, J.Y. Halpern, and D. Koller From statistical knowledge bases to degrees of belief Artificial Intelligence 87 1-2 1996 75 143 (Pubitemid 126371217)
-
(1996)
Artificial Intelligence
, vol.87
, Issue.1-2
, pp. 75-143
-
-
Bacchus, F.1
Grove, A.J.2
Halpern, J.Y.3
Koller, D.4
-
6
-
-
34247997020
-
Reichenbach, reference classes, and single case probabilities
-
J.H. Fetzer Reichenbach, reference classes, and single case probabilities Synthese 34 2 1977
-
(1977)
Synthese
, vol.34
, Issue.2
-
-
Fetzer, J.H.1
-
7
-
-
84880688943
-
Learning probabilistic relational models
-
N. Friedman, L. Getoor, D. Koller, A. Pfeffer, Learning probabilistic relational models, in: Proceedings of the 16th International Joint Conference on Artificial Intelligence, 1999, pp. 1300-1309.
-
(1999)
Proceedings of the 16th International Joint Conference on Artificial Intelligence
, pp. 1300-1309
-
-
Friedman, N.1
Getoor, L.2
Koller, D.3
Pfeffer, A.4
-
9
-
-
0025535649
-
An analysis of first-order logics of probability
-
J.Y. Halpern An analysis of first-order logics of probability Artificial Intelligence 46 1990 311 350
-
(1990)
Artificial Intelligence
, vol.46
, pp. 311-350
-
-
Halpern, J.Y.1
-
15
-
-
33750696648
-
Learning systems of concepts with an infinite relational model
-
C. Kemp, J.B. Tenenbaum, T.L. Griffiths, T. Yamada, N. Ueda, Learning systems of concepts with an infinite relational model, in: Proceedings of the 21st National Conference on Artificial Intelligence, 2006.
-
(2006)
Proceedings of the 21st National Conference on Artificial Intelligence
-
-
Kemp, C.1
Tenenbaum, J.B.2
Griffiths, T.L.3
Yamada, T.4
Ueda, N.5
-
16
-
-
4444380873
-
Bayesian logic programs
-
J. Cussens, A. Frisch, (Eds.)
-
K. Kersting, L. De Raedt, Bayesian logic programs, in: J. Cussens, A. Frisch, (Eds.), Proceedings of the 10th International Conference on Inductive Llogic Programming (Work-in-progress track), 2000, pp. 138-155.
-
(2000)
Proceedings of the 10th International Conference on Inductive Llogic Programming (Work-in-progress Track)
, pp. 138-155
-
-
Kersting, K.1
De Raedt, L.2
-
17
-
-
12244270144
-
Basic principles of learning Bayesian logic programs
-
University of Freiburg
-
K. Kersting, L. De Raedt, Basic principles of learning Bayesian logic programs, Tech. rep., University of Freiburg, 2002.
-
(2002)
Tech. Rep.
-
-
Kersting, K.1
De Raedt, L.2
-
21
-
-
0141809425
-
The reference class
-
H. Kyburg The reference class Philosophy of Science 50 1983 374 397
-
(1983)
Philosophy of Science
, vol.50
, pp. 374-397
-
-
Kyburg, H.1
-
23
-
-
61449530401
-
Randomness and the right reference class
-
H.E. Kyburg Randomness and the right reference class Journal of Philosophy 74 1977 501 502
-
(1977)
Journal of Philosophy
, vol.74
, pp. 501-502
-
-
Kyburg, H.E.1
-
24
-
-
0028369880
-
Believing on the basis of the evidence
-
H.E. Kyburg Jr. Believing on the basis of the evidence Computational Intelligence 10 1994 3 20
-
(1994)
Computational Intelligence
, vol.10
, pp. 3-20
-
-
Kyburg, Jr.H.E.1
-
27
-
-
33947278464
-
Direct inference and confirmational conditionalization
-
I. Levi Direct inference and confirmational conditionalization Philosophy of Science 48 4 1981 532 552
-
(1981)
Philosophy of Science
, vol.48
, Issue.4
, pp. 532-552
-
-
Levi, I.1
-
29
-
-
33751160028
-
Direct inference and the problem of induction
-
T. McGrew Direct inference and the problem of induction The Monist 2001 84
-
(2001)
The Monist
, pp. 84
-
-
McGrew, T.1
-
30
-
-
84880739933
-
BLOG: Probabilistic models with unknown objects
-
B. Milch, B. Marthi, S. Russell, D. Sontag, D.L. Ong, A. Kolobov, BLOG: probabilistic models with unknown objects, in: 19th International Joint Conference on Artificial Intelligence, 2005, pp. 1352-1359.
-
(2005)
19th International Joint Conference on Artificial Intelligence
, pp. 1352-1359
-
-
Milch, B.1
Marthi, B.2
Russell, S.3
Sontag, D.4
Ong, D.L.5
Kolobov, A.6
-
32
-
-
9444244581
-
Stochastic logic programs
-
L. De Raedt, (Ed.) Department of Computer Science, Katholieke Universiteit Leuven
-
S. Muggleton, Stochastic logic programs, in: L. De Raedt, (Ed.), Proceedings of the 5th International Workshop on Inductive Logic Programming, Department of Computer Science, Katholieke Universiteit Leuven, 1995, p. 29.
-
(1995)
Proceedings of the 5th International Workshop on Inductive Logic Programming
, pp. 29
-
-
Muggleton, S.1
-
33
-
-
0028429573
-
Inductive logic programming: Theory and methods
-
S. Muggleton, and L. De Raedt Inductive logic programming: theory and methods Journal of Logic Programming 19/20 1994 629 679
-
(1994)
Journal of Logic Programming
, Issue.19-20
, pp. 629-679
-
-
Muggleton, S.1
De Raedt, L.2
-
34
-
-
34249042076
-
Leveraging relational autocorrelation with latent group models
-
DOI 10.1109/ICDM.2005.89, 1565695, Proceedings - Fifth IEEE International Conference on Data Mining, ICDM 2005
-
J. Neville, D. Jensen, Leveraging relational autocorrelation with latent group models, in: IEEE International Conference on Data Mining, 2005, pp. 322-329. (Pubitemid 47385709)
-
(2005)
Proceedings - IEEE International Conference on Data Mining, ICDM
, pp. 322-329
-
-
Neville, J.1
Jensen, D.2
-
35
-
-
0038718854
-
The structure and function of complex networks
-
M.E.J. Newman The structure and function of complex networks SIAM Review 45 2003 167 256
-
(2003)
SIAM Review
, vol.45
, pp. 167-256
-
-
Newman, M.E.J.1
-
38
-
-
0027702434
-
Probabilistic Horn abduction and Bayesian networks
-
D. Poole Probabilistic Horn abduction and Bayesian networks Artificial Intelligence 64 1 1993 81 129
-
(1993)
Artificial Intelligence
, vol.64
, Issue.1
, pp. 81-129
-
-
Poole, D.1
-
39
-
-
0031187203
-
The independent choice logic for modelling multiple agents under uncertainty
-
PII S0004370297000271
-
D. Poole The independent choice logic for modelling multiple agents under uncertainty Artificial Intelligence 95 1-2 1997 7 56 (Pubitemid 127371445)
-
(1997)
Artificial Intelligence
, vol.94
, Issue.1-2
, pp. 7-56
-
-
Poole, D.1
-
40
-
-
0001172265
-
Learning logical definitions from relations
-
J.R. Quinlan Learning logical definitions from relations Machine Learning 5 1990 239 266
-
(1990)
Machine Learning
, vol.5
, pp. 239-266
-
-
Quinlan, J.R.1
-
42
-
-
32044466073
-
Markov logic networks
-
DOI 10.1007/s10994-006-5833-1
-
M. Richardson, and P. Domingos Markov logic networks Machine Learning 62 1-2 2006 107 136 (Pubitemid 43202307)
-
(2006)
Machine Learning
, vol.62
, Issue.1-2
, pp. 107-136
-
-
Richardson, M.1
Domingos, P.2
-
46
-
-
84880884400
-
Probabilistic classification and clustering in relational data
-
B. Taskar, E. Segal, D. Koller, Probabilistic classification and clustering in relational data, in: Proceedings of the 17th International Joint Conference on Artificial Intelligence, 2001, pp. 870-878.
-
(2001)
Proceedings of the 17th International Joint Conference on Artificial Intelligence
, pp. 870-878
-
-
Taskar, B.1
Segal, E.2
Koller, D.3
-
48
-
-
78650115587
-
Social network mining with nonparametric relational models
-
H. Zhang, M. Smith, L. Giles, J. Yen, LNCS Springer
-
Z. Xu, V. Tresp, A. Rettinger, and K. Kersting Social network mining with nonparametric relational models H. Zhang, M. Smith, L. Giles, J. Yen, Advances in Social Network Mining and Analysis LNCS 2009 Springer
-
(2009)
Advances in Social Network Mining and Analysis
-
-
Xu, Z.1
Tresp, V.2
Rettinger, A.3
Kersting, K.4
-
49
-
-
54249116223
-
Infinite hidden relational models
-
Z. Xu, V. Tresp, K. Yu, H. Kriegel, Infinite hidden relational models, in: Proceedings of the 22nd Conference on Uncertainty in Aritificial Intelligence, 2006.
-
(2006)
Proceedings of the 22nd Conference on Uncertainty in Aritificial Intelligence
-
-
Xu, Z.1
Tresp, V.2
Yu, K.3
Kriegel, H.4
-
50
-
-
23744513375
-
Constructing free-energy approximations and generalized belief propagation algorithms
-
DOI 10.1109/TIT.2005.850085
-
J.S. Yedidia, W.T. Freeman, and Y. Weiss Constructing free energy approximations and generalized belief propagation algorithms IEEE Transactions on Information Theory 51 2004 2282 2312 (Pubitemid 41136394)
-
(2005)
IEEE Transactions on Information Theory
, vol.51
, Issue.7
, pp. 2282-2312
-
-
Yedidia, J.S.1
Freeman, W.T.2
Weiss, Y.3
-
51
-
-
0000049635
-
Exploiting causal independence in bayesian network inference
-
N.L. Zhang, and D. Poole Exploiting causal independence in Bayesian network inference Journal of Artificial Intelligence Research 5 1996 301 328 (Pubitemid 126646171)
-
(1996)
Journal of Artificial Intelligence Research
, vol.5
, pp. 301-328
-
-
Zhang, N.L.1
Poole, D.2
|