-
2
-
-
0012312949
-
State abstraction for programmable reinforcement learning agents
-
Andre, D., Russell, S.: State abstraction for programmable reinforcement learning agents. In: Proc. AAAI 2002 (2002)
-
(2002)
Proc. AAAI 2002
-
-
Andre, D.1
Russell, S.2
-
4
-
-
9444264710
-
Probabilistic reasoning with answer sets
-
Baral, C., Gelfond, M., Rushton, N.: Probabilistic reasoning with answer sets. In: Proceedings of LPNMR7, pp. 21-33 (2004)
-
(2004)
Proceedings of LPNMR7
, pp. 21-33
-
-
Baral, C.1
Gelfond, M.2
Rushton, N.3
-
5
-
-
0000675721
-
-
Horvitz, E, Jensen, F, eds, UAI, Portland, OR, pp
-
Boutilier, C., Friedman, N., Goldszmidt, M., Koller, D.: Context-specific independence in Bayesian networks. In: Horvitz, E., Jensen, F. (eds.) UAI 1996, Portland, OR, pp. 115-123 (1996)
-
(1996)
Context-specific independence in Bayesian networks
, pp. 115-123
-
-
Boutilier, C.1
Friedman, N.2
Goldszmidt, M.3
Koller, D.4
-
6
-
-
0018235476
-
Diagnostic models for procedural bugs in basic mathematical skills
-
Brown, J.S., Burton, R.R.: Diagnostic models for procedural bugs in basic mathematical skills. Cognitive Science 2, 155-191 (1978)
-
(1978)
Cognitive Science
, vol.2
, pp. 155-191
-
-
Brown, J.S.1
Burton, R.R.2
-
9
-
-
33645958620
-
Compiling relational bayesian networks for exact inference
-
Chavira, M., Darwiche, A., Jaeger, M.: Compiling relational bayesian networks for exact inference. International Journal of Approximate Reasoning (IJAR) 42, 4-20 (2006)
-
(2006)
International Journal of Approximate Reasoning (IJAR)
, vol.42
, pp. 4-20
-
-
Chavira, M.1
Darwiche, A.2
Jaeger, M.3
-
10
-
-
0011843617
-
-
UAI
-
Chickering, D.M., Heckerman, D., Meek, C.: A Bayesian approach to learning Bayesian networks with local structure. In: UAI 1997, pp. 80-89 (1997)
-
(1997)
A Bayesian approach to learning Bayesian networks with local structure
, pp. 80-89
-
-
Chickering, D.M.1
Heckerman, D.2
Meek, C.3
-
11
-
-
0000826543
-
Negation as failure
-
Gallaire, H, Minker, J, eds, Plenum Press, New York
-
Clark, K.L.: Negation as failure. In: Gallaire, H., Minker, J. (eds.) Logic and Databases, pp. 293-322. Plenum Press, New York (1978)
-
(1978)
Logic and Databases
, pp. 293-322
-
-
Clark, K.L.1
-
12
-
-
33644863766
-
Inference in hybrid bayesian networks with mixtures of truncated exponentials
-
Cobba, B.R., Shenoy, P.P.: Inference in hybrid bayesian networks with mixtures of truncated exponentials. International Journal of Approximate Reasoning 41(3), 257-286 (2006)
-
(2006)
International Journal of Approximate Reasoning
, vol.41
, Issue.3
, pp. 257-286
-
-
Cobba, B.R.1
Shenoy, P.P.2
-
13
-
-
40249111107
-
-
Cozman, F., Krotkov, E.: Truncated gaussians as tolerance sets. Technical Report CMU-RI-TR-94-35, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA (September 1994)
-
Cozman, F., Krotkov, E.: Truncated gaussians as tolerance sets. Technical Report CMU-RI-TR-94-35, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA (September 1994)
-
-
-
-
14
-
-
0035250750
-
Recursive conditioning
-
Darwiche, A.: Recursive conditioning. Artificial Intelligence 126(1-2), 5-41 (2001)
-
(2001)
Artificial Intelligence
, vol.126
, Issue.1-2
, pp. 5-41
-
-
Darwiche, A.1
-
15
-
-
84880750109
-
-
IJCAI, Edinburgh
-
de Salvo Braz, R., Amir, E., Roth, D.: Lifted first-order probabilistic inference. In: IJCAI 2005, Edinburgh (2005). http://www.cs.uiuc.edu/~eyal/ papers/fopl-res-ijcai05.pdf
-
(2005)
Lifted first-order probabilistic inference
-
-
de Salvo Braz, R.1
Amir, E.2
Roth, D.3
-
17
-
-
40249089435
-
-
Friedman, N., Goldszmidt, M.: Learning Bayesian networks with local structure. In: UAI 1996, pp. 252-262 (1996), http://www2.sis.pitt.edu/~dsl/UAI/ UAI96/ Friedmanl.UAI96.html
-
Friedman, N., Goldszmidt, M.: Learning Bayesian networks with local structure. In: UAI 1996, pp. 252-262 (1996), http://www2.sis.pitt.edu/~dsl/UAI/ UAI96/ Friedmanl.UAI96.html
-
-
-
-
18
-
-
0001119421
-
The stable model semantics for logic programming
-
Kowalski, R, Bowen, K, eds, Cambridge, MA, pp
-
Gelfond, M., Lifschitz, V.: The stable model semantics for logic programming. In: Kowalski, R., Bowen, K. (eds.) Proceedings of the Fifth Logic Programming Symposium, Cambridge, MA, pp. 1070-1080 (1988)
-
(1988)
Proceedings of the Fifth Logic Programming Symposium
, pp. 1070-1080
-
-
Gelfond, M.1
Lifschitz, V.2
-
19
-
-
0041779094
-
Learning probabilistic relational models
-
Dzeroski, S, Lavrac, N, eds, Springer, Heidelberg
-
Getoor, L., Friedman, N., Koller, D., Pfeffer, A.: Learning probabilistic relational models. In: Dzeroski, S., Lavrac, N. (eds.) Relational Data Mining, pp. 307-337. Springer, Heidelberg (2001)
-
(2001)
Relational Data Mining
, pp. 307-337
-
-
Getoor, L.1
Friedman, N.2
Koller, D.3
Pfeffer, A.4
-
20
-
-
40249112686
-
-
Heckerman, D.: A tutorial on learning with Bayesian networks. Technical Report MSR-TR-95-06, Microsoft Research, March 1995. URL Revised (November 1996). http: //www. research.microsoft.com/research/dtg/heckerma/heckerma.html
-
Heckerman, D.: A tutorial on learning with Bayesian networks. Technical Report MSR-TR-95-06, Microsoft Research, March 1995. URL Revised (November 1996). http: //www. research.microsoft.com/research/dtg/heckerma/heckerma.html
-
-
-
-
21
-
-
40249099780
-
-
Heckerman. D.. Meek. C., Koller. D.: Probabilistic models for relational data. Technical Report MSR-TR-2004-30, Microsoft Research (March 2004)
-
Heckerman. D.. Meek. C., Koller. D.: Probabilistic models for relational data. Technical Report MSR-TR-2004-30, Microsoft Research (March 2004)
-
-
-
-
22
-
-
0344614857
-
A dynamic approach to probabilistic inference using Bayesian networks
-
Boston, July
-
Horsch, M., Poole, D.: A dynamic approach to probabilistic inference using Bayesian networks. In: Proc. Sixth Conference on Uncertainty in AI, Boston, July 1990, pp. 155-161 (1990)
-
(1990)
Proc. Sixth Conference on Uncertainty in AI
, pp. 155-161
-
-
Horsch, M.1
Poole, D.2
-
23
-
-
40249101361
-
Bayesian logic programming: Theory and tool
-
Getoor, L, Taskar, B, eds, MIT Press, Cambridge
-
Kersting, K., De Raedt, L.: Bayesian logic programming: Theory and tool. In: Getoor, L., Taskar, B. (eds.) An Introduction to Statistical Relational Learning, MIT Press, Cambridge (2007)
-
(2007)
An Introduction to Statistical Relational Learning
-
-
Kersting, K.1
De Raedt, L.2
-
24
-
-
40249107890
-
-
Laskey, K.B., da Costa, P.G.C.: Of klingons and starships: Bayesian logic for the 23rd century. In: Uncertainty in Artificial Intelligence: Proceedings of the Twenty-First Conference (2005)
-
Laskey, K.B., da Costa, P.G.C.: Of klingons and starships: Bayesian logic for the 23rd century. In: Uncertainty in Artificial Intelligence: Proceedings of the Twenty-First Conference (2005)
-
-
-
-
25
-
-
0344243483
-
Answer set programming and plan generation
-
Lifschitz, V.: Answer set programming and plan generation. Artificial Intelligence 138(1-2), 39-54 (2002)
-
(2002)
Artificial Intelligence
, vol.138
, Issue.1-2
, pp. 39-54
-
-
Lifschitz, V.1
-
26
-
-
0003453263
-
Foundations of Logic Programming
-
2nd edn, Springer, Berlin
-
Lloyd, J.W.: Foundations of Logic Programming, 2nd edn. Symbolic Computation Series. Springer, Berlin (1987)
-
(1987)
Symbolic Computation Series
-
-
Lloyd, J.W.1
-
27
-
-
84880739933
-
BLOG: Probabilistic models with unknown objects
-
Edinburgh
-
Milch, B., Marthi, B., Russell, S., Sontag, D., Ong, D.L., Kolobov, A.: BLOG: Probabilistic models with unknown objects. In: IJCAI 2005, Edinburgh (2005)
-
(2005)
IJCAI
-
-
Milch, B.1
Marthi, B.2
Russell, S.3
Sontag, D.4
Ong, D.L.5
Kolobov, A.6
-
28
-
-
0002205343
-
Stochastic logic programs
-
De Raedt, L, ed, IOS Press, Amsterdam
-
Muggleton, S.: Stochastic logic programs. In: De Raedt, L. (ed.) Advances in Inductive Logic Programming, pp. 254-264. IOS Press, Amsterdam (1996)
-
(1996)
Advances in Inductive Logic Programming
, pp. 254-264
-
-
Muggleton, S.1
-
29
-
-
77951503082
-
Inverse entailment and Progol
-
Muggleton, S.: Inverse entailment and Progol. New Generation Computing 13(3-4), 245-286 (1995)
-
(1995)
New Generation Computing
, vol.13
, Issue.3-4
, pp. 245-286
-
-
Muggleton, S.1
-
30
-
-
0028429573
-
Inductive logic programming: Theory and methods
-
Muggleton, S., De Raedt, L.: Inductive logic programming: Theory and methods. Journal of Logic Programming 19(20), 629-679 (1994)
-
(1994)
Journal of Logic Programming
, vol.19
, Issue.20
, pp. 629-679
-
-
Muggleton, S.1
De Raedt, L.2
-
32
-
-
0026005474
-
Logic and artificial intelligence
-
Nilsson, N.J.: Logic and artificial intelligence. Artificial Intelligence 47, 31-56 (1991)
-
(1991)
Artificial Intelligence
, vol.47
, pp. 31-56
-
-
Nilsson, N.J.1
-
33
-
-
84898987614
-
Identity uncertainty and citation matching
-
Pasula, H., Marthi, B., Milch, B., Russell, S., Shpitser, I.: Identity uncertainty and citation matching. In: NIPS, vol. 15 (2003)
-
(2003)
NIPS
, vol.15
-
-
Pasula, H.1
Marthi, B.2
Milch, B.3
Russell, S.4
Shpitser, I.5
-
36
-
-
84880881676
-
IBAL: A probabilistic rational programming language
-
Pfeffer, A.: IBAL: A probabilistic rational programming language. In: IJCAI 2001 (2001), http ://www.eecs.harvard.edu/~avi/Papers/ibal.ijcai01.ps
-
(2001)
IJCAI 2001
-
-
Pfeffer, A.1
-
37
-
-
36348939832
-
Logical generative models for probabilistic reasoning about existence, roles and identity
-
Poole, D.: Logical generative models for probabilistic reasoning about existence, roles and identity. In: 22nd AAAI Conference on AI (AAAI 2007) (2007)
-
(2007)
22nd AAAI Conference on AI (AAAI
-
-
Poole, D.1
-
38
-
-
0343128485
-
Learning, Bayesian probability, graphical models, and abduction
-
Flach, P, Kakas, A, eds, Kluwer, Dordrecht
-
Poole, D.: Learning, Bayesian probability, graphical models, and abduction. In: Flach, P., Kakas, A. (eds.) Abduction and Induction: Essays on their relation and integration, Kluwer, Dordrecht (2000a)
-
(2000)
Abduction and Induction: Essays on their relation and integration
-
-
Poole, D.1
-
40
-
-
84990556284
-
Explanation and prediction: An architecture for default and abductive reasoning
-
Poole, D.: Explanation and prediction: An architecture for default and abductive reasoning. Computational Intelligence 5(2), 97-110 (1989)
-
(1989)
Computational Intelligence
, vol.5
, Issue.2
, pp. 97-110
-
-
Poole, D.1
-
41
-
-
0025645515
-
A methodology for using a default and abductive reasoning system
-
Poole, D.: A methodology for using a default and abductive reasoning system. International Journal of Intelligent Systems 5(5), 521-548 (1990)
-
(1990)
International Journal of Intelligent Systems
, vol.5
, Issue.5
, pp. 521-548
-
-
Poole, D.1
-
42
-
-
0002125156
-
Representing diagnostic knowledge for probabilistic Horn abduction
-
Sydney, pp, August
-
Poole, D.: Representing diagnostic knowledge for probabilistic Horn abduction. In: IJCAI 1991, Sydney, pp. 1129-1135 (August 1991a)
-
(1991)
IJCAI
, pp. 1129-1135
-
-
Poole, D.1
-
43
-
-
0345682568
-
Representing Bayesian networks within probabilistic Horn abduction
-
Los Angeles, July, 1991b
-
Poole, D.: Representing Bayesian networks within probabilistic Horn abduction. In: UAI 1991, Los Angeles, July 1991, pp. 271-278 (1991b)
-
(1991)
UAI
, pp. 271-278
-
-
Poole, D.1
-
44
-
-
0041471704
-
Logic programming, abduction and probability: A top-down anytime algorithm for computing prior and posterior probabilities
-
Poole, D.: Logic programming, abduction and probability: A top-down anytime algorithm for computing prior and posterior probabilities. New Generation Computing 11(3-4), 377-400 (1993a)
-
(1993)
New Generation Computing
, vol.11
, Issue.3-4
, pp. 377-400
-
-
Poole, D.1
-
45
-
-
0027702434
-
Probabilistic Horn abduction and Bayesian networks
-
Poole, D.: Probabilistic Horn abduction and Bayesian networks. Artificial Intelligence 64(1), 81-129 (1993b)
-
(1993)
Artificial Intelligence
, vol.64
, Issue.1
, pp. 81-129
-
-
Poole, D.1
-
46
-
-
0030416993
-
Probabilistic conflicts in a search algorithm for estimating posterior probabilities in Bayesian networks
-
Poole, D.: Probabilistic conflicts in a search algorithm for estimating posterior probabilities in Bayesian networks. Artificial Intelligence 88, 69-100 (1996)
-
(1996)
Artificial Intelligence
, vol.88
, pp. 69-100
-
-
Poole, D.1
-
47
-
-
84880668827
-
Probabilistic partial evaluation: Exploiting rule structure in probabilistic inference
-
Nagoya, Japan, pp
-
Poole, D.: Probabilistic partial evaluation: Exploiting rule structure in probabilistic inference. In: IJCAI 1997, Nagoya, Japan, pp. 1284-1291 (1997a), http://www.cs.ubc.ca/spider/poole/abstracts/pro-pa.html
-
(1997)
IJCAI
, pp. 1284-1291
-
-
Poole, D.1
-
48
-
-
0031187203
-
-
Poole, D.: The independent choice logic for modelling multiple agents under uncertainty. Artificial Intelligence 94, 7-56 (special issue on economic principles of multi-agent systems) (1997b), http://www.cs.ubc.ca/spider/poole/ abstracts/ici.html
-
Poole, D.: The independent choice logic for modelling multiple agents under uncertainty. Artificial Intelligence 94, 7-56 (special issue on economic principles of multi-agent systems) (1997b), http://www.cs.ubc.ca/spider/poole/ abstracts/ici.html
-
-
-
-
49
-
-
0034230835
-
Abducing through negation as failure: Stable models in the Independent Choice Logic
-
Poole, D.: Abducing through negation as failure: stable models in the Independent Choice Logic. Journal of Logic Programming 44(1-3). 5-35 (2000), http://www.cs.ubc.ca/spider/poole/abstracts/abnaf.html
-
(2000)
Journal of Logic Programming
, vol.44
, Issue.1-3
, pp. 5-35
-
-
Poole, D.1
-
52
-
-
0000431236
-
Induction of logic programs: FOIL and related systems
-
Quinlan, J.R., Cameron-Jones, R.M.: Induction of logic programs: FOIL and related systems. New Generation Computing 13(3-4), 287-312 (1995)
-
(1995)
New Generation Computing
, vol.13
, Issue.3-4
, pp. 287-312
-
-
Quinlan, J.R.1
Cameron-Jones, R.M.2
-
56
-
-
40249090949
-
-
Shanahan, M.: Prediction is deduction, but explanation is abduction. In: IJCAI-1989, Detroit, MI, pp. 1055-1060 (August 1989)
-
Shanahan, M.: Prediction is deduction, but explanation is abduction. In: IJCAI-1989, Detroit, MI, pp. 1055-1060 (August 1989)
-
-
-
-
57
-
-
0033705011
-
Towards programming tools for robots that integrate probabilistic computation and learning
-
San Francisco, CA, IEEE, Los Alamitos
-
Thrun, S.: Towards programming tools for robots that integrate probabilistic computation and learning. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), San Francisco, CA, IEEE, Los Alamitos (2000)
-
(2000)
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)
-
-
Thrun, S.1
|