-
1
-
-
0031187873
-
A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling
-
Baxter, J. (1997). A Bayesian/information theoretic model of learning to learn via multiple task sampling. Machine Learning, 28(1), 7-39. (Pubitemid 127507168)
-
(1997)
Machine Learning
, vol.28
, Issue.1
, pp. 7-39
-
-
Baxter, J.1
-
2
-
-
0002460150
-
The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks
-
Berlin:Springer
-
Beinlich, I. A., Suermondt, H. J., Chavez, R. M., & Cooper, G. F. (1989). The ALARM monitoring system: a case study with two probabilistic inference techniques for belief networks. In Proceedings of the second European Conference on Artificial Intelligence in Medicine. Berlin: Springer.
-
(1989)
Proceedings of the Second European Conference on Artificial Intelligence in Medicine
-
-
Beinlich, I.A.1
Suermondt, H.J.2
Chavez, R.M.3
Cooper, G.F.4
-
3
-
-
0031273462
-
Adaptive probabilistic networks with hidden variables
-
Binder, J., Koller, D., Russell, S., & Kanazawa, K. (1997). Adaptive probabilistic networks with hidden variables. Machine Learning, 29(2-3), 213-244. (Pubitemid 127510039)
-
(1997)
Machine Learning
, vol.29
, Issue.2-3
, pp. 213-244
-
-
Binder, J.1
Koller, D.2
Russell, S.3
Kanazawa, K.4
-
4
-
-
0031189914
-
Multitask learning
-
Caruana, R. (1997). Multitask learning. Machine Learning, 28(1), 41-75. (Pubitemid 127507169)
-
(1997)
Machine Learning
, vol.28
, Issue.1
, pp. 41-75
-
-
Caruana, R.1
-
5
-
-
0029752922
-
Aggregate functions over probabilisitic data
-
Chang, C.-S., & Chen, A. L. P. (1996). Aggregate functions over probabilisitic data. Informing Science, 88(1- 4), 15-45.
-
(1996)
Informing Science
, vol.88
, Issue.1-4
, pp. 15-45
-
-
Chang, C.-S.1
Chen, A.L.P.2
-
6
-
-
0030122846
-
Evaluating aggregate operations over imprecise data
-
Chen, A. L. P., Chiu, J.-S., & Tseng, F. S.-C. (1996). Evaluating aggregate operations over imprecise data. IEEE Transactions on Knowledge and Data Engineering, 8(2), 273-284. (Pubitemid 126776295)
-
(1996)
IEEE Transactions on Knowledge and Data Engineering
, vol.8
, Issue.2
, pp. 273-284
-
-
Chen, A.L.P.1
Chiu, J.-S.2
Tseng, F.S.C.3
-
7
-
-
34249832377
-
A Bayesian method for the induction of probabilistic networks from data
-
Cooper, G. F., & Herskovits, E. (1992). A Bayesian method for the induction of probabilistic networks from data. Machine Learning, 9(4), 309-347.
-
(1992)
Machine Learning
, vol.9
, Issue.4
, pp. 309-347
-
-
Cooper, G.F.1
Herskovits, E.2
-
8
-
-
36348931609
-
Transferring Naive Bayes classifiers for text classification
-
AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
-
Dai,W., Xue, G., Yang, Q., & Yu, Y. (2007). Trasfer naive Bayes classifiers for text classification. In Proceedings of the twenty-second AAAI conference on artificial intelligence (AAAI-07) (pp. 540-545). Menlo Park: AAAI Press. (Pubitemid 350149626)
-
(2007)
Proceedings of the National Conference on Artificial Intelligence
, vol.1
, pp. 540-545
-
-
Dai, W.1
Xue, G.-R.2
Yang, Q.3
Yu, Y.4
-
9
-
-
8344276113
-
Elvira: An environment for creating and using probabilistic graphical models
-
November, 2002, Cuenca (Spain). Electronic Proceedings
-
Elvira (2002). Elvira: an environment for creating and using probabilistic graphical models. In J. A. Gámez & A. Salmeron (Eds.), First European workshop on probabilistic graphical models, 6-8 November, 2002, Cuenca (Spain). Electronic Proceedings.
-
(2002)
First European Workshop on Probabilistic Graphical Models
, pp. 6-8
-
-
Elvira1
-
11
-
-
84972539429
-
Combining probability distributions: A critique and an annotated bibliography
-
Genest, C., & Zidek, J. V. (1986). Combining probability distributions: a critique and an annotated bibliography. Statistical Science, 1(1), 114-148.
-
(1986)
Statistical Science
, vol.1
, Issue.1
, pp. 114-148
-
-
Genest, C.1
Zidek, J.V.2
-
12
-
-
0028482006
-
Learning Bayesian belief networks: An approach based on the MDL principle
-
Lam,W., & Bacchus, F. (1994). Learning Bayesian belief networks: an approach based on the MDL principle. Computational Intelligence, 10, 269-293.
-
(1994)
Computational Intelligence
, vol.10
, pp. 269-293
-
-
Lam, W.1
Bacchus, F.2
-
17
-
-
1942516830
-
Learning with knowledge from multiple experts
-
2003), August 21-24, 2003, Washington DC, USA (pp. 624-631). Menlo Park: AAAI Press
-
Richardson, M., & Domingos, P. (2003). Learning with knowledge from multiple experts. In T. Fawcett & N. Mishra (Eds.), Machine learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA (pp. 624-631). Menlo Park: AAAI Press.
-
(2003)
Machine Learning, Proceedings of the Twentieth International Conference ICML
-
-
Richardson, M.1
Domingos, P.2
-
19
-
-
84954358258
-
Inductive transfer with context-sensitive neural networks
-
Silver, D., Poirier, R., & Currie, D. (2008). Inductive transfer with context-sensitive neural networks. Machine Learning, 73(3), 313-336.
-
(2008)
Machine Learning
, vol.73
, Issue.3
, pp. 313-336
-
-
Silver, D.1
Poirier, R.2
Currie, D.3
-
20
-
-
0003614273
-
-
Berlin: Springer
-
Spirtes, P., Glymour, C., & Scheines, R. (1993). Causation, prediction, and search. Berlin: Springer.
-
(1993)
Causation, Prediction, and Search
-
-
Spirtes, P.1
Glymour, C.2
Scheines, R.3
-
21
-
-
85031124575
-
Is learning the n-th thing any easier than learning the first?
-
Cambridge: MIT Press
-
Thrun, S. (1996). Is learning the n-th thing any easier than learning the first? In D. S. Touretzky, M. C. Mozer, & M. E. Hasselmo (Eds.), Advances in Neural Information Processing Systems (vol. 8, pp. 640-646). Cambridge: MIT Press.
-
(1996)
Advances in Neural Information Processing Systems
, vol.8
, pp. 640-646
-
-
Thrun, S.1
|