-
2
-
-
0030283418
-
From statistical knowledge bases to degrees of belief
-
PII S0004370296000033
-
Bacchus, F., Grove, A. J., Halpern, J. Y., & Koller, D. (1996). From statistical knowledge bases to degrees of belief. Artif. Intel, 87, 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
-
4
-
-
0015617823
-
Applying probability measures to abstract languages
-
Booth, T., & Thompson, R. (1973). Applying probability measures to abstract languages. IEEE Transactions on Computers, C-22, 442-450.
-
(1973)
IEEE Transactions on Computers
, vol.C-22
, pp. 442-450
-
-
Booth, T.1
Thompson, R.2
-
5
-
-
0005921071
-
Statistical properties of probabilistic context-free grammars
-
Chi, Z. (1999). Statistical properties of probabilistic context-free grammars. Computational Linguistics, 25, 131-160.
-
(1999)
Computational Linguistics
, vol.25
, pp. 131-160
-
-
Chi, Z.1
-
6
-
-
33750705609
-
Unifying logical and statistical AI
-
Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
-
Domingos, P., Kok, S., Poon, H., Richardson, M., & Singla, P. (2006). Unifying logical and statistical AI. Proc. AAAI-06 (pp. 2-7). (Pubitemid 44705255)
-
(2006)
Proceedings of the National Conference on Artificial Intelligence
, vol.1
, pp. 2-7
-
-
Domingos, P.1
Kok, S.2
Poon, H.3
Richardson, M.4
Singla, P.5
-
7
-
-
84880688943
-
Learning probabilistic relational models
-
Friedman, N., Getoor, L., Koller, D., & Pfeffer, A. (1999). Learning probabilistic relational models. Proc. IJCAI-99 (pp. 1300-1307).
-
(1999)
Proc. IJCAI-99
, pp. 1300-1307
-
-
Friedman, N.1
Getoor, L.2
Koller, D.3
Pfeffer, A.4
-
11
-
-
0025535649
-
An analysis of first-order logics of probability
-
Halpern, J. (1990). An analysis of first-order logics of probability. Artif Intel, 46, 311-350.
-
(1990)
Artif Intel
, vol.46
, pp. 311-350
-
-
Halpern, J.1
-
12
-
-
0042113760
-
Reasoning about infinite random structures with relational Bayesian networks
-
Jaeger, M. (1998). Reasoning about infinite random structures with relational Bayesian networks. Proc. KR-98.
-
(1998)
Proc. KR-98
-
-
Jaeger, M.1
-
13
-
-
84949187512
-
Towards combining inductive logic programming with Bayesian networks
-
Kersting, K., & De Raedt, L. (2001). Towards combining inductive logic programming with Bayesian networks. Proc. ILP-01 (pp. 118-131). (Pubitemid 33332602)
-
(2001)
Lecture Notes in Computer Science
, Issue.2157
, pp. 118-131
-
-
Kersting, K.1
De Raedt, L.2
-
14
-
-
33749545442
-
-
(Tech. Rept). Dept. Comp. Sci. & Eng., Univ. Washington
-
Kok, S., Sumner, M., Richardson, M., Singla, P., Poon, H., & Domingos, P. (2006). The Alchemy system for statistical relational AI(Tech. Rept). Dept. Comp. Sci. & Eng., Univ. Washington. http://alchemy.cs. washington.edu.
-
(2006)
The Alchemy System for Statistical Relational AI
-
-
Kok, S.1
Sumner, M.2
Richardson, M.3
Singla, P.4
Poon, H.5
Domingos, P.6
-
15
-
-
80053265989
-
Of starships and klingons: Bayesian logic for 23rd century
-
Laskey, K., & Costa, P. (2005). Of starships and Klingons: Bayesian logic for 23rd century. Proc. UAI-05 (pp. 346-353).
-
(2005)
Proc. UAI-05
, pp. 346-353
-
-
Laskey, K.1
Costa, P.2
-
16
-
-
84880899283
-
Recursive random fields
-
Lowd, D., & Domingos, P. (2007). Recursive random fields. Proc. IJCAI-07 (pp. 950-955).
-
(2007)
Proc. IJCAI-07
, pp. 950-955
-
-
Lowd, D.1
Domingos, P.2
-
17
-
-
84862596534
-
Approximate inference for infinite contingent Bayesian networks
-
Milch, B., Marthi, B., Sontag, D., Russell, S., & Ong, D. L. (2005). Approximate inference for infinite contingent Bayesian networks. Proc. AISTATS-05.
-
(2005)
Proc. AISTATS-05
-
-
Milch, B.1
Marthi, B.2
Sontag, D.3
Russell, S.4
Ong, D.L.5
-
18
-
-
0002205343
-
Stochastic logic programs
-
L. De Raedt (Ed.) IOS Press
-
Muggleton, S. (1996). Stochastic logic programs. In L. De Raedt (Ed.), Advances in inductive logic programming, 254-264. IOS Press.
-
(1996)
Advances in Inductive Logic Programming
, pp. 254-264
-
-
Muggleton, S.1
-
19
-
-
0022659563
-
Probabilistic logic
-
Nilsson, N. (1986). Probabilistic logic. Artif. Intel, 28, 71-87.
-
(1986)
Artif. Intel
, vol.28
, pp. 71-87
-
-
Nilsson, N.1
-
20
-
-
84880903471
-
Semantics and inference for recursive probability models
-
Pfeffer, A., & Koller, D. (2000). Semantics and inference for recursive probability models. Proc. AAAI-00 (pp. 538-544).
-
(2000)
Proc. AAAI-00
, pp. 538-544
-
-
Pfeffer, A.1
Koller, D.2
-
21
-
-
0031187203
-
The independent choice logic for modelling multiple agents under uncertainty
-
PII S0004370297000271
-
Poole, D. (1997). The independent choice logic for modelling multiple agents under uncertainty. Artif. Intel, 94, 7-56. (Pubitemid 127371445)
-
(1997)
Artificial Intelligence
, vol.94
, Issue.1-2
, pp. 7-56
-
-
Poole, D.1
-
22
-
-
32044466073
-
Markov logic networks
-
DOI 10.1007/s10994-006-5833-1
-
Richardson, M., & Domingos, P. (2006). Markov logic networks. Mach. Learn., 62, 107-136. (Pubitemid 43202307)
-
(2006)
Machine Learning
, vol.62
, Issue.1-2 SPEC. ISS.
, pp. 107-136
-
-
Richardson, M.1
Domingos, P.2
-
23
-
-
84863339347
-
PRISM: A symbolic-statistical modeling language
-
Sato, T., & Kameya, Y. (1997). PRISM: A symbolic-statistical modeling language. Proc. AAAI-97 (pp. 1330-1335).
-
(1997)
Proc. AAAI-97
, pp. 1330-1335
-
-
Sato, T.1
Kameya, Y.2
-
24
-
-
80053185574
-
-
(Tech. Rept.). Dept. Comp. Sci. & Eng., Univ. Washington
-
Singla, P., & Domingos, P. (2007). Markov logic in infinite domains (Tech. Rept.). Dept. Comp. Sci. & Eng., Univ. Washington. http://alchemy.cs.washington.edu/papers/singla07/tr.pdf.
-
(2007)
Markov Logic in Infinite Domains
-
-
Singla, P.1
Domingos, P.2
-
25
-
-
1942418618
-
Discriminative probabilistic models for relational data
-
Taskar, B., Abbeel, P., & Koller, D. (2002). Discriminative probabilistic models for relational data. Proc. UAI-02 (pp. 485-492).
-
(2002)
Proc. UAI-02
, pp. 485-492
-
-
Taskar, B.1
Abbeel, P.2
Koller, D.3
-
26
-
-
84972347653
-
From knowledge bases to decision models
-
Wellman, M., Breese, J. S., & Goldman, R. P. (1992). From knowledge bases to decision models. Knowl Eng. Rev, 7.
-
(1992)
Knowl Eng. Rev
, vol.7
-
-
Wellman, M.1
Breese, J.S.2
Goldman, R.P.3
|