-
1
-
-
0002460150
-
The alarm monitoring system: A case study with two probabilistic inference techniques for belief networks
-
Berlin: Springer-Verlag
-
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. Proc. Second European Conference on AI and Medicine (pp. 247-256). Berlin: Springer-Verlag.
-
(1989)
Proc. Second European Conference on AI and Medicine
, pp. 247-256
-
-
Beinlich, I.A.1
Suermondt, H.J.2
Chavez, R.M.3
Cooper, G.F.4
-
4
-
-
0001019707
-
Learning Bayesian networks is NP-Complete
-
D. Fisher and H. Lenz (Eds.), Springer-Verlag
-
Chickering, D. M. (1996a). Learning Bayesian networks is NP-Complete. In D. Fisher and H. Lenz (Eds.), Learning from data: Artificial intelligence and statistics v, 121-130. Springer-Verlag.
-
(1996)
Learning from Data: Artificial Intelligence and Statistics v
, pp. 121-130
-
-
Chickering, D.M.1
-
5
-
-
0002332440
-
Learning equivalence classes of Bayesian network structures
-
Portland, OR. Morgan Kaufmann
-
Chickering, D. M. (1996b). Learning equivalence classes of Bayesian network structures. Proceedings of the Twelfth Conference on UAI, Portland, OR (pp. 150-157). Morgan Kaufmann.
-
(1996)
Proceedings of the Twelfth Conference on UAI
, pp. 150-157
-
-
Chickering, D.M.1
-
6
-
-
34249832377
-
A Bayesian method for the induction of probabilistic networks from data
-
Cooper, G., & Herskovits, E. (1992). A Bayesian method for the induction of probabilistic networks from data. Machine Learning, 9, 309-347.
-
(1992)
Machine Learning
, vol.9
, pp. 309-347
-
-
Cooper, G.1
Herskovits, E.2
-
7
-
-
0036931049
-
Data perturbation for escaping local maxima in learning
-
Elidan, G., Ninio, M., Friedman, N., & Schuurmans, D. (2002). Data perturbation for escaping local maxima in learning. Proceedings of AAAI-02 (pp. 132-139).
-
(2002)
Proceedings of AAAI-02
, pp. 132-139
-
-
Elidan, G.1
Ninio, M.2
Friedman, N.3
Schuurmans, D.4
-
8
-
-
0001586968
-
Learning belief networks in the presence of missing values and hidden variables
-
Morgan Kaufmann
-
Friedman, N. (1997). Learning belief networks in the presence of missing values and hidden variables. Proc. 14th ICML(pp. 125-133). Morgan Kaufmann.
-
(1997)
Proc. 14th ICML
, pp. 125-133
-
-
Friedman, N.1
-
10
-
-
0002219642
-
Learning Bayesian network structure from massive datasets: The "sparse candidate" algorithm
-
Friedman, N., Nachman, I., & Peér, D. (1999). Learning Bayesian network structure from massive datasets: The "sparse candidate" algorithm. Proceedings of the Fifteenth Conference on UAI (pp. 206-215).
-
(1999)
Proceedings of the Fifteenth Conference on UAI
, pp. 206-215
-
-
Friedman, N.1
Nachman, I.2
Peér, D.3
-
11
-
-
34249761849
-
Learning Bayesian networks: The combination of knowledge and statistical data
-
Heckerman, D., Geiger, D., & Chickering, D. M. (1995). Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning, 20, 197-243.
-
(1995)
Machine Learning
, vol.20
, pp. 197-243
-
-
Heckerman, D.1
Geiger, D.2
Chickering, D.M.3
-
13
-
-
0004280606
-
-
PhD. Thesis; Technical Report No. TR-90-04). Stanford University, Department of Computer Science
-
Kaelbling, L. P. (1990). Learning in Embedded Systems. PhD. Thesis; Technical Report No. TR-90-04). Stanford University, Department of Computer Science.
-
(1990)
Learning in Embedded Systems
-
-
Kaelbling, L.P.1
-
14
-
-
0001923944
-
Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation
-
Morgan Kaufmann
-
Maron, O., & Moore, A. (1993). Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation. Advances in NIPS 6. Morgan Kaufmann.
-
(1993)
Advances in NIPS
, vol.6
-
-
Maron, O.1
Moore, A.2
-
15
-
-
0001828003
-
Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets
-
Moore, A. W., & Lee, M. S. (1998). Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets. JAIR, 8, 67-91.
-
(1998)
JAIR
, vol.8
, pp. 67-91
-
-
Moore, A.W.1
Lee, M.S.2
-
16
-
-
1942514735
-
Real-valued All-Dimensions search: Low-overhead rapid searching over subsets of attributes
-
Moore, A. W., & Schneider, J. (2002). Real-valued All-Dimensions search: Low-overhead rapid searching over subsets of attributes. Conference on UAI (pp. 360-369).
-
(2002)
Conference on UAI
, pp. 360-369
-
-
Moore, A.W.1
Schneider, J.2
-
17
-
-
1942482607
-
The Edinburgh/Durham Southern Galaxy Catalogue -IX
-
Nichol, R. C., Collins, C. A., & Lumsden, S. L. (2000). The Edinburgh/Durham Southern Galaxy Catalogue -IX. The Galaxy Catalogue, http://xxx.lanl.gov/abs/astro-ph/0008184.
-
(2000)
The Galaxy Catalogue
-
-
Nichol, R.C.1
Collins, C.A.2
Lumsden, S.L.3
-
18
-
-
84922369401
-
Using Tarjan's Red Rule for Fast Dependency Tree Construction
-
Morgan Kaufmann
-
Pelleg, D., & Moore, A. W. (2002). Using Tarjan's Red Rule for Fast Dependency Tree Construction. NIPS 15. Morgan Kaufmann.
-
(2002)
NIPS
, vol.15
-
-
Pelleg, D.1
Moore, A.W.2
-
19
-
-
0000120766
-
Estimating the dimensions of a model
-
Schwanz, G. (1979). Estimating the dimensions of a model. Annals of Statistics, 6, 461-464.
-
(1979)
Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwanz, G.1
-
20
-
-
0030783296
-
A microscopic study of minimum entropy search in learning decomposable markov networks
-
Xiang, Y., Wong, S., & Cereone, N. (1997). A microscopic study of minimum entropy search in learning decomposable markov networks. Machine Learning, 26, 65-92.
-
(1997)
Machine Learning
, vol.26
, pp. 65-92
-
-
Xiang, Y.1
Wong, S.2
Cereone, N.3
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