-
3
-
-
26944466555
-
CLP (BN): Constraint logic programming for probabilistic knowledge
-
Costa, V. S., Page, D. Qazi, & M. Cussens, J. (2003). CLP (BN): Constraint logic programming for probabilistic knowledge. In Proceedings of the Conference on Uncertainty in Artificial Intelligence, (pp. 517-524).
-
(2003)
Proceedings of the Conference on Uncertainty in Artificial Intelligence
, pp. 517-524
-
-
Costa, V.S.1
Page, D.Q.2
Cussens, M.J.3
-
5
-
-
26944499181
-
Logical bayesian networks
-
Fierens, D., Blockeel, H., Bruynooghe, & M. Ramon, J. (2004). Logical bayesian networks. In Proceedings of the 3rd Workshop on Multi-Relational Data Mining.
-
(2004)
Proceedings of the 3rd Workshop on Multi-relational Data Mining
-
-
Fierens, D.1
Blockeel, H.2
Bruynooghe, M.3
Ramon, J.4
-
6
-
-
70350022461
-
Logical bayesian networks and their relation to other probabilistic logical models
-
Fierens, D., Blockeel, H., Bruynooghe, M. & Ramon, J. (2005). Logical bayesian networks and their relation to other probabilistic logical models. In Proceedings of the Inductive Logic Programming Conference.
-
(2005)
Proceedings of the Inductive Logic Programming Conference
-
-
Fierens, D.1
Blockeel, H.2
Bruynooghe, M.3
Ramon, J.4
-
7
-
-
84880688943
-
Learning probabilistic relational models
-
Stockholm, Sweden Morgan Kaufman
-
Friedman, N., Getoor, L., Koller, D. & Pfeffer, A. (1999). Learning probabilistic relational models. In Proceedings of the International Joint Conference on Artificial Intelligence. Stockholm, Sweden (pp. 1300-1307) Morgan Kaufman.
-
(1999)
Proceedings of the International Joint Conference on Artificial Intelligence
, pp. 1300-1307
-
-
Friedman, N.1
Getoor, L.2
Koller, D.3
Pfeffer, A.4
-
8
-
-
51249163944
-
Concerning measures in first order calculi
-
Gaifman, H. (1964). Concerning measures in first order calculi. Israel Journal of Mathematics, 2, 1-18.
-
(1964)
Israel Journal of Mathematics
, vol.2
, pp. 1-18
-
-
Gaifman, H.1
-
10
-
-
0041779094
-
Learning probabilistic relational models
-
S. Dzeroski and N. Lavrac (eds.), Kluwer
-
Getoor, L., Friedman, N., Koller, D. & Pfeffer, A. (2001a) Learning probabilistic relational models. In S. Dzeroski and N. Lavrac (eds.), Relational Data Mining Kluwer (pp. 307-335).
-
(2001)
Relational Data Mining
, pp. 307-335
-
-
Getoor, L.1
Friedman, N.2
Koller, D.3
Pfeffer, A.4
-
11
-
-
16344373871
-
Learning probabilistic relational models with structural uncertainty
-
Morgan Kaufman
-
Getoor, L., Friedman. N., Koller, D. & Taskar, B. (2001b). Learning probabilistic relational models with structural uncertainty. In Proceedings of the International Conference on Machine Learning. Morgan Kaufman (pp. 170-177).
-
(2001)
Proceedings of the International Conference on Machine Learning
, pp. 170-177
-
-
Getoor, L.1
Friedman, N.2
Koller, D.3
Taskar, B.4
-
12
-
-
0141496151
-
Learning probabilistic models with link structure
-
Getoor, L., Friedman, N., Koller, D. & Taskar, B. (2002). Learning probabilistic models with link structure. Journal of Machine Learning Research, 3, 679-707.
-
(2002)
Journal of Machine Learning Research
, vol.3
, pp. 679-707
-
-
Getoor, L.1
Friedman, N.2
Koller, D.3
Taskar, B.4
-
13
-
-
1842714928
-
Understanding tuberculosis epidemiology using probabilistic relational models
-
Getoor, L., Rhee, J., Koller, D. & Small, P. (2004). Understanding tuberculosis epidemiology using probabilistic relational models. Artificial Integllicence in Medicine, 30 (233-256).
-
(2004)
Artificial Integllicence in Medicine
, vol.30
, pp. 233-256
-
-
Getoor, L.1
Rhee, J.2
Koller, D.3
Small, P.4
-
14
-
-
1942482990
-
Probabilistic models of text and link structure for hypertext classification
-
Getoor, L., Segal, E., Taskar, B., & Koller, D. (2001c). Probabilistic models of text and link structure for hypertext classification. In IJCAI Workshop on Text Learning: Beyond Supervision.
-
(2001)
IJCAI Workshop on Text Learning: Beyond Supervision
-
-
Getoor, L.1
Segal, E.2
Taskar, B.3
Koller, D.4
-
16
-
-
0025535649
-
An analysis of first-order logics of probability
-
Halpern, J. (1990). An analysis of first-order logics of probability. Artificial Intelligence Journal, 46, 311-350.
-
(1990)
Artificial Intelligence Journal
, vol.46
, pp. 311-350
-
-
Halpern, J.1
-
17
-
-
31844438956
-
Probabilistic models for relational data
-
Microsoft Research, Microsoft Corporation
-
Heckerman, D., Meek, C. & Koller, D. (2004). Probabilistic models for relational data. Technical Report 30, Microsoft Research, Microsoft Corporation.
-
(2004)
Technical Report
, vol.30
-
-
Heckerman, D.1
Meek, C.2
Koller, D.3
-
18
-
-
0042113760
-
Reasoning about infinite random structures with relational Bayesian networks
-
Jaeger, M. (1998). Reasoning about infinite random structures with relational Bayesian networks. In Proceedings of the Knowledge Representations Conference (pp. 570-581).
-
(1998)
Proceedings of the Knowledge Representations Conference
, pp. 570-581
-
-
Jaeger, M.1
-
20
-
-
9444234690
-
Bayesian logic programs
-
Institute for Computer Science, University of Freiburg, Germany
-
Kersting, K. & De Raedt, L. (2001b). Bayesian logic programs. Technical Report 151, Institute for Computer Science, University of Freiburg, Germany.
-
(2001)
Technical Report
, vol.151
-
-
Kersting, K.1
De Raedt, L.2
-
23
-
-
32044455510
-
MEBN: A logic for open-world probabilistic reasoning
-
Department of Systems Engineering and Operations Research, George Mason University
-
Laskey, K. B. (2003). MEBN: A logic for open-world probabilistic reasoning. Technical report, Department of Systems Engineering and Operations Research, George Mason University.
-
(2003)
Technical Report
-
-
Laskey, K.B.1
-
28
-
-
84898987614
-
Identity uncertainty and citation matching
-
Pasula, H., Marthi, B., Milch, B., Russell, S. & Shpitser, I. (2003). Identity uncertainty and citation matching. In Advances in Neural Information Processing.
-
(2003)
Advances in Neural Information Processing
-
-
Pasula, H.1
Marthi, B.2
Milch, B.3
Russell, S.4
Shpitser, I.5
-
32
-
-
0012348933
-
SPOOK: A system for probabilistic object-oriented knowledge representation
-
Pfeffer, A., Koller, D., Milch, B. & Takusagawa, K. (1999). SPOOK: A system for probabilistic object-oriented knowledge representation. In Proceedings of the Conference on Uncertainty in Artificial Intelligence.
-
(1999)
Proceedings of the Conference on Uncertainty in Artificial Intelligence
-
-
Pfeffer, A.1
Koller, D.2
Milch, B.3
Takusagawa, K.4
-
33
-
-
0027702434
-
Probabilistic horn abduction and Bayesian networks
-
Poole, D. (1993). Probabilistic horn abduction and Bayesian networks. Artificial Intelligence Journal, 64 (1), 81-129.
-
(1993)
Artificial Intelligence Journal
, vol.64
, Issue.1
, pp. 81-129
-
-
Poole, D.1
-
36
-
-
84972347653
-
From knowledge bases to decision models
-
Wellman, M., Breese, J. & Goldman, R. (1992). From knowledge bases to decision models. Knowledge Engineering Review, 7(1), 35-53.
-
(1992)
Knowledge Engineering Review
, vol.7
, Issue.1
, pp. 35-53
-
-
Wellman, M.1
Breese, J.2
Goldman, R.3
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