-
1
-
-
38149069576
-
Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference
-
10.1016/j.artint.2007.09.004 1182.68304 2388565
-
Allen, T. V., Singh, A., Greiner, R., & Hooper, P. (2008). Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference. Artificial Intelligence, 172(4-5), 483-513.
-
(2008)
Artificial Intelligence
, vol.172
, Issue.4-5
, pp. 483-513
-
-
Allen, T.V.1
Singh, A.2
Greiner, R.3
Hooper, P.4
-
2
-
-
29844440778
-
Towards a robust query optimizer: A principled and practical approach
-
New York, NY, USA ACM New York 10.1145/1066157.1066172
-
Babcock, B., & Chaudhuri, S. (2005). Towards a robust query optimizer: a principled and practical approach. In Proceedings of the 2005 ACM SIGMOD international conference on management of data. SIGMOD'05, New York, NY, USA (pp. 119-130). New York: ACM.
-
(2005)
Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data. SIGMOD'05
, pp. 119-130
-
-
Babcock, B.1
Chaudhuri, S.2
-
4
-
-
0026998036
-
From statistics to beliefs
-
Bacchus, F., Grove, A. J., Koller, D., & Halpern, J. Y. (1992). From statistics to beliefs. In AAAI (pp. 602-608).
-
(1992)
AAAI
, pp. 602-608
-
-
Bacchus, F.1
Grove, A.J.2
Koller, D.3
Halpern, J.Y.4
-
5
-
-
84891371696
-
On sparse, spectral and other parameterizations of binary probabilistic models
-
Buchman, D., Schmidt, M. W., Mohamed, S., Poole, D., & de Freitas, N. (2012). On sparse, spectral and other parameterizations of binary probabilistic models. Journal of Machine Learning Research - Proceedings Track, 22, 173-181.
-
(2012)
Journal of Machine Learning Research - Proceedings Track
, vol.22
, pp. 173-181
-
-
Buchman, D.1
Schmidt, M.W.2
Mohamed, S.3
Poole, D.4
De Freitas, N.5
-
6
-
-
84858444489
-
Reference classes and relational learning
-
10.1016/j.ijar.2011.05.002 1242.68323 2902399
-
Chiang, M., & Poole, D. (2012). Reference classes and relational learning. International Journal of Approximate Reasoning, 53(3), 326-346.
-
(2012)
International Journal of Approximate Reasoning
, vol.53
, Issue.3
, pp. 326-346
-
-
Chiang, M.1
Poole, D.2
-
10
-
-
38949107955
-
Binary models for marginal independence
-
10.1111/j.1467-9868.2007.00636.x 1148.62043 2424754
-
Drton, M., & Richardson, T. S. (2008). Binary models for marginal independence. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 70(2), 287-309.
-
(2008)
Journal of the Royal Statistical Society: Series B (Statistical Methodology)
, vol.70
, Issue.2
, pp. 287-309
-
-
Drton, M.1
Richardson, T.S.2
-
11
-
-
0040586129
-
Estimation of graph totals
-
0358.62008 458659
-
Frank, O. (1977). Estimation of graph totals. Scandinavian Journal of Statistics, 4(2), 81-89.
-
(1977)
Scandinavian Journal of Statistics
, vol.4
, Issue.2
, pp. 81-89
-
-
Frank, O.1
-
15
-
-
0039561484
-
Selectivity estimation using probabilistic models
-
10.1145/376284.375727
-
Getoor, L., Taskar, B., & Koller, D. (2001). Selectivity estimation using probabilistic models. ACM SIGMOD Record, 30(2), 461-472.
-
(2001)
ACM SIGMOD Record
, vol.30
, Issue.2
, pp. 461-472
-
-
Getoor, L.1
Taskar, B.2
Koller, D.3
-
16
-
-
47849098175
-
Probabilistic relational models
-
Chap. 5
-
Getoor, L., Friedman, N., Koller, D., Pfeffer, A., & Taskar, B. (2007). Probabilistic relational models. In Introduction to statistical relational learning (pp. 129-173). Chap. 5.
-
(2007)
Introduction to Statistical Relational Learning
, pp. 129-173
-
-
Getoor, L.1
Friedman, N.2
Koller, D.3
Pfeffer, A.4
Taskar, B.5
-
17
-
-
0025535649
-
An analysis of first-order logics of probability
-
10.1016/0004-3702(90)90019-V 0723.03007 1084887
-
Halpern, J. Y. (1990). An analysis of first-order logics of probability. Artificial Intelligence, 46(3), 311-350.
-
(1990)
Artificial Intelligence
, vol.46
, Issue.3
, pp. 311-350
-
-
Halpern, J.Y.1
-
18
-
-
34247146505
-
Multiplicative latent factor models for description and prediction of social networks
-
Hoff, P. D. (2007). Multiplicative latent factor models for description and prediction of social networks. In Computational and mathematical organization theory.
-
(2007)
Computational and Mathematical Organization Theory
-
-
Hoff, P.D.1
-
19
-
-
0000252076
-
Computational aspects of the Möbius transformation
-
Kennes, R., & Smets, P. (1990). Computational aspects of the Möbius transformation. In UAI (pp. 401-416).
-
(1990)
UAI
, pp. 401-416
-
-
Kennes, R.1
Smets, P.2
-
20
-
-
77958615695
-
Structure learning for Markov logic networks with many descriptive attributes
-
Khosravi, H., Schulte, O., Man, T., Xu, X., & Bina, B. (2010). Structure learning for Markov logic networks with many descriptive attributes. In AAAI (pp. 487-493).
-
(2010)
AAAI
, pp. 487-493
-
-
Khosravi, H.1
Schulte, O.2
Man, T.3
Xu, X.4
Bina, B.5
-
21
-
-
84868303619
-
-
Khosravi, H., Man, T., Hu, J., Gao, E., & Schulte, O. (2012). Learn and join algorithm code. http://www.cs.sfu.ca/~oschulte/jbn/.
-
(2012)
Learn and Join Algorithm Code
-
-
Khosravi, H.1
Man, T.2
Hu, J.3
Gao, E.4
Schulte, O.5
-
22
-
-
84857184874
-
Learning Markov logic networks via functional gradient boosting
-
IEEE Comput. Soc. Los Alamitos
-
Khot, T., Natarajan, S., Kersting, K., & Shavlik, J. W. (2011). Learning Markov logic networks via functional gradient boosting. In ICDM (pp. 320-329). Los Alamitos: IEEE Comput. Soc.
-
(2011)
ICDM
, pp. 320-329
-
-
Khot, T.1
Natarajan, S.2
Kersting, K.3
Shavlik, J.W.4
-
23
-
-
77956519107
-
Learning Markov logic networks using structural motifs
-
Kok, S., & Domingos, P. (2010). Learning Markov logic networks using structural motifs. In ICML (pp. 551-558).
-
(2010)
ICML
, pp. 551-558
-
-
Kok, S.1
Domingos, P.2
-
24
-
-
33749545442
-
-
Technical report, University of Washington. Version 30
-
Kok, S., Summer, M., Richardson, M., Singla, P., Poon, H., Lowd, D., Wang, J., & Domingos, P. (2009). The Alchemy system for statistical relational AI. Technical report, University of Washington. Version 30.
-
(2009)
The Alchemy System for Statistical Relational AI
-
-
Kok, S.1
Summer, M.2
Richardson, M.3
Singla, P.4
Poon, H.5
Lowd, D.6
Wang, J.7
Domingos, P.8
-
26
-
-
84891372744
-
Learning causal models of relational domains
-
Maier, M., Taylor, B., Oktay, H., & Jensen, D. (2010). Learning causal models of relational domains. In AAAI.
-
(2010)
AAAI
-
-
Maier, M.1
Taylor, B.2
Oktay, H.3
Jensen, D.4
-
27
-
-
55049091050
-
BLOG: Probabilistic models with unknown objects
-
MIT Press Cambridge
-
Milch, B., Marthi, B., Russell, S., Sontag, D., Ong, D., & Kolobov, A. (2007). BLOG: probabilistic models with unknown objects. In Statistical relational learning (pp. 373-395). Cambridge: MIT Press.
-
(2007)
Statistical Relational Learning
, pp. 373-395
-
-
Milch, B.1
Marthi, B.2
Russell, S.3
Sontag, D.4
Ong, D.5
Kolobov, A.6
-
28
-
-
80052655046
-
Collective graph identification
-
New York, NY, USA ACM New York
-
Namata, G. M., Kok, S., & Getoor, L. (2011). Collective graph identification. In Proceedings of the 17th ACM SIGKDD international conference on knowledge discovery and data mining. KDD '11, New York, NY, USA (pp. 87-95). New York: ACM.
-
(2011)
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD '11
, pp. 87-95
-
-
Namata, G.M.1
Kok, S.2
Getoor, L.3
-
29
-
-
84880831450
-
First-order probabilistic inference
-
Poole, D. (2003). First-order probabilistic inference. In IJCAI (pp. 985-991).
-
(2003)
IJCAI
, pp. 985-991
-
-
Poole, D.1
-
31
-
-
84865207049
-
A tractable pseudo-likelihood function for Bayes nets applied to relational data
-
Schulte, O. (2011). A tractable pseudo-likelihood function for Bayes nets applied to relational data. In SIAM SDM (pp. 462-473).
-
(2011)
SIAM SDM
, pp. 462-473
-
-
Schulte, O.1
-
33
-
-
84865227776
-
Learning graphical models for relational data via lattice search
-
10.1007/s10994-012-5289-4 2949889
-
Schulte, O., & Khosravi, H. (2012). Learning graphical models for relational data via lattice search. Machine Learning, 88(3), 331-368.
-
(2012)
Machine Learning
, vol.88
, Issue.3
, pp. 331-368
-
-
Schulte, O.1
Khosravi, H.2
-
36
-
-
80052396145
-
Like like alike: Joint friendship and interest propagation in social networks
-
New York, NY, USA ACM New York 10.1145/1963405.1963481
-
Yang, S. H., Long, B., Smola, A., Sadagopan, N., Zheng, Z., & Zha, H. (2011). Like like alike: joint friendship and interest propagation in social networks. In Proceedings of the 20th international conference on World wide web. WWW '11, New York, NY, USA (pp. 537-546). New York: ACM.
-
(2011)
Proceedings of the 20th International Conference on World Wide Web. WWW '11
, pp. 537-546
-
-
Yang, S.H.1
Long, B.2
Smola, A.3
Sadagopan, N.4
Zheng, Z.5
Zha, H.6
-
37
-
-
2442458705
-
Crossmine: Efficient classification across multiple database relations
-
IEEE Comput. Soc. Los Alamitos
-
Yin, X., Han, J., Yang, J., & Yu, P. S. (2004). Crossmine: efficient classification across multiple database relations. In ICDE (pp. 399-410). Los Alamitos: IEEE Comput. Soc.
-
(2004)
ICDE
, pp. 399-410
-
-
Yin, X.1
Han, J.2
Yang, J.3
Yu, P.S.4
|