-
1
-
-
0031649660
-
Bayesian models for keyhole plan recognition in an adventure game. User Model. User-Adapted Interaction
-
Albrecht, D., Zukerman, I., Nicholson, A.: Bayesian models for keyhole plan recognition in an adventure game. User Model. User-Adapted Interaction, Special Issue Machine Learning User Model. 8(1-2), 5-47 (1998)
-
(1998)
Special Issue Machine Learning User Model
, vol.8
, Issue.1-2
, pp. 5-47
-
-
Albrecht, D.1
Zukerman, I.2
Nicholson, A.3
-
2
-
-
0041966002
-
Using confidence bounds for exploitation-exploration trade-offs
-
Auer, P.: Using confidence bounds for exploitation-exploration trade-offs. J. Machine Learn. Res. 3, 397-422 (2002)
-
(2002)
J. Machine Learn. Res
, vol.3
, pp. 397-422
-
-
Auer, P.1
-
3
-
-
0029513526
-
Gambling in a rigged casino: The adversarial multi-armed bandit problem. In: In Proceedings of the 36th Annual Symposium on Foundations of Computer Science
-
Los Alamitos, CA
-
Auer, P., Cesa-Bianchi, M., Freund, Y., Schapire, R.: Gambling in a rigged casino: the adversarial multi-armed bandit problem. In: In Proceedings of the 36th Annual Symposium on Foundations of Computer Science, pp. 322-331. IEEE Computer Society Press, Los Alamitos, CA (1995)
-
(1995)
IEEE Computer Society Press
, pp. 322-331
-
-
Auer, P.1
Cesa-Bianchi, M.2
Freund, Y.3
Schapire, R.4
-
5
-
-
0346942368
-
-
Boutilier, C., Dean, T., Hanks, S.: Decision-theoretic planning: structural assumptions and computational leverage. I Aritif. Intell. Res. 1, 1-93 (1999)
-
Boutilier, C., Dean, T., Hanks, S.: Decision-theoretic planning: structural assumptions and computational leverage. I Aritif. Intell. Res. 1, 1-93 (1999)
-
-
-
-
6
-
-
0041919126
-
The winmine toolkit
-
Technical Report MSR-TR-2002-103, Microsoft Redmond, WA
-
Chickering, D.M.: The winmine toolkit. Technical Report MSR-TR-2002-103, Microsoft Redmond, WA (2002)
-
(2002)
-
-
Chickering, D.M.1
-
7
-
-
0008586604
-
A method for using belief networks as influence diagrams
-
Heckerman, D, Mamdani, A, eds, Washington, DC, pp, Morgan Kaufmann
-
Cooper, G.F.: A method for using belief networks as influence diagrams. In: Heckerman, D., Mamdani, A., (eds.), Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, Washington, DC, pp. 55-63, Morgan Kaufmann (1993)
-
(1993)
Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence
, pp. 55-63
-
-
Cooper, G.F.1
-
8
-
-
0031619316
-
Bayesian Q-learning
-
Madison, WI
-
Dearden, R., Friedman, N., Russell, S.: Bayesian Q-learning. In: Proceedings of the Fifteenth National Conference on Artificial Intelligence, pp. 761-768. Madison, WI (1998)
-
(1998)
Proceedings of the Fifteenth National Conference on Artificial Intelligence
, pp. 761-768
-
-
Dearden, R.1
Friedman, N.2
Russell, S.3
-
9
-
-
0041035115
-
A Bayesian approach for learning causal networks
-
Hanks, S, Besnard, P, eds, Morgan Kaufmann
-
Heckerman, D.: A Bayesian approach for learning causal networks. In: Hanks, S., Besnard, P. (eds.), Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, Montreal, QU. Morgan Kaufmann (1995)
-
(1995)
Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, Montreal, QU
-
-
Heckerman, D.1
-
10
-
-
0003846041
-
A tutorial on learning Bayesian networks
-
Technical Report MSR-TR-95-06, Microsoft Research
-
Heckerman, D.: A tutorial on learning Bayesian networks. Technical Report MSR-TR-95-06, Microsoft Research (1996)
-
(1996)
-
-
Heckerman, D.1
-
11
-
-
0001670678
-
The lumiere project: Bayesian user modeling for inferring the goals and needs of software users
-
Madison, Wisconsin
-
Horvitz, E., Breese, J., Heckerman, D., Hovel, D., Rommelse, K.: The lumiere project: Bayesian user modeling for inferring the goals and needs of software users. In: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, pp. 256-265. Madison, Wisconsin (1998)
-
(1998)
Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence
, pp. 256-265
-
-
Horvitz, E.1
Breese, J.2
Heckerman, D.3
Hovel, D.4
Rommelse, K.5
-
12
-
-
0000086731
-
Influence diagrams
-
Strategic Decisions Group, Menlo Park, CA
-
Howard, R., Matheson, J.: Influence diagrams. In: Readings on the Principles and Applications of Decision Analysis, Vol. II, pp. 721-762. Strategic Decisions Group, Menlo Park, CA (1981)
-
(1981)
Readings on the Principles and Applications of Decision Analysis
, vol.2
, pp. 721-762
-
-
Howard, R.1
Matheson, J.2
-
14
-
-
0029679044
-
Reinforcement learning: A survey
-
Kaelbling, L.P., Littman, M.L., Moore, A.W.: Reinforcement learning: a survey. J. Artif. Intell. Res. 4, 237-285 (1996)
-
(1996)
J. Artif. Intell. Res
, vol.4
, pp. 237-285
-
-
Kaelbling, L.P.1
Littman, M.L.2
Moore, A.W.3
-
15
-
-
33846955531
-
Online bounds for bayesian algorithms
-
Saul, L.K, Weiss, Y, Bottou, L, eds, MIT Press, Cambridge, MA
-
Kakade, S.M., Ng, A.Y.: Online bounds for bayesian algorithms. In: Saul, L.K., Weiss, Y., Bottou, L. (eds.), Advances in Neural Information Processing Systems, Vol. 17, pp. 641-648. MIT Press, Cambridge, MA (2005)
-
(2005)
Advances in Neural Information Processing Systems
, vol.17
, pp. 641-648
-
-
Kakade, S.M.1
Ng, A.Y.2
-
16
-
-
0035466786
-
Representing and solving decision problems with limited information
-
Lauritzen, S.L., Nilsson, D.: Representing and solving decision problems with limited information. Manage. Sci. 47(9), 1235-1251 (2001)
-
(2001)
Manage. Sci
, vol.47
, Issue.9
, pp. 1235-1251
-
-
Lauritzen, S.L.1
Nilsson, D.2
-
17
-
-
84906478589
-
-
Roy, N., Pineau, J., Thrun, S.: Spoken dialogue management using probabilistic reasoning. In: Proceedings of ACL-2000, pp. 93-100. Hong Kong, China (2000)
-
Roy, N., Pineau, J., Thrun, S.: Spoken dialogue management using probabilistic reasoning. In: Proceedings of ACL-2000, pp. 93-100. Hong Kong, China (2000)
-
-
-
-
18
-
-
0039355728
-
Decision making using probabilistic inference methods
-
San Mateo, CA, Morgan Kaufmann Publishers
-
Shachter, R., Peot, M.: Decision making using probabilistic inference methods. In: Proceedings of the 8th Annual Conference on Uncertainty in Artificial Intelligence, pp. 276-283. San Mateo, CA, Morgan Kaufmann Publishers (1992)
-
(1992)
Proceedings of the 8th Annual Conference on Uncertainty in Artificial Intelligence
, pp. 276-283
-
-
Shachter, R.1
Peot, M.2
-
19
-
-
0037841376
-
Optimizing dialogue management with reinforcement learning: Experiments with the njfun system
-
Singh, S., Litman, D., Kearns, M., Walker, M.: Optimizing dialogue management with reinforcement learning: experiments with the njfun system. J. Artif. Intell. Res. 16, 105-133 (2002)
-
(2002)
J. Artif. Intell. Res
, vol.16
, pp. 105-133
-
-
Singh, S.1
Litman, D.2
Kearns, M.3
Walker, M.4
-
22
-
-
0001395850
-
On the likelihood that one unknown probability exceeds another in view of the evidence of two samples
-
Thompson, W.R.: On the likelihood that one unknown probability exceeds another in view of the evidence of two samples. Biometricka. 25, 285-294 (1993)
-
(1993)
Biometricka
, vol.25
, pp. 285-294
-
-
Thompson, W.R.1
-
24
-
-
0346045661
-
-
Young, S.: Probabilistic methods in spoken dialogue systems. Philos. Trans. Roy. Soc. (Ser A) 358(1769), 1389-1402 (2000)
-
Young, S.: Probabilistic methods in spoken dialogue systems. Philos. Trans. Roy. Soc. (Ser A) 358(1769), 1389-1402 (2000)
-
-
-
-
25
-
-
0035033607
-
Predictive statistical models for user modeling. User Model
-
Zukerman, I., Albrecht, D.: Predictive statistical models for user modeling. User Model. User-Adapted Interact. 11(1), 5-18 (2001)
-
(2001)
User-Adapted Interact
, vol.11
, Issue.1
, pp. 5-18
-
-
Zukerman, I.1
Albrecht, D.2
|