-
1
-
-
0028401306
-
Case-based reasoning: Foundational issues, methodological variations, and system approaches
-
Aamodt, A. and E. Plaza. 1994. Case-based reasoning: Foundational issues, methodological variations, and system approaches. Artificial Intelligence Communications 7(1):39-59.
-
(1994)
Artificial Intelligence Communications
, vol.7
, Issue.1
, pp. 39-59
-
-
Aamodt, A.1
Plaza, E.2
-
4
-
-
0003964874
-
Next-generation intrusion detection expert system (NIDES): A summary
-
Technical Report SRI-CSL-95-07, Computer Science Laboratory, Menlo Park, CA: SRI International
-
Anderson, D., T. Frivold, and A. Valdes. 1995. Next-generation intrusion detection expert system (NIDES): A summary. Technical Report SRI-CSL-95-07, Computer Science Laboratory, Menlo Park, CA: SRI International.
-
(1995)
-
-
Anderson, D.1
Frivold, T.2
Valdes, A.3
-
5
-
-
0003707174
-
Scaling EM (expectation maximization) clustering to large databases
-
Technical Report MSR-TR-98-35, Redmond, WA: Microsoft Research
-
Bradley, P. S., U. Fayyad, and C. Reina. 1998. Scaling EM (expectation maximization) clustering to large databases. Technical Report MSR-TR-98-35, Redmond, WA: Microsoft Research.
-
(1998)
-
-
Bradley, P.S.1
Fayyad, U.2
Reina, C.3
-
6
-
-
0001019707
-
Learning bayesian networks is NP-complete
-
eds. D. H. Fisher and H.-J. Lenz, pp, New York, NY: Springer-Verlag
-
Chickering, D. M. 1996a. Learning bayesian networks is NP-complete. In: Learning from Data: Artificial Intelligence and Statistics V, eds. D. H. Fisher and H.-J. Lenz, pp. 121-130, New York, NY: Springer-Verlag.
-
(1996)
Learning from Data: Artificial Intelligence and Statistics V
, pp. 121-130
-
-
Chickering, D.M.1
-
9
-
-
34249832377
-
A Bayesian method for the induction of probabilistic networks from data
-
Cooper, G. F. and E. Herskovits. 1992. A Bayesian method for the induction of probabilistic networks from data. Machine Learning9(4):309- 347.
-
(1992)
Machine Learning
, vol.9
, Issue.4
, pp. 309-347
-
-
Cooper, G.F.1
Herskovits, E.2
-
11
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm (with discussion)
-
Dempster, A., N. Laird, and D. Rubin. 1977. Maximum likelihood from incomplete data via the EM algorithm (with discussion). Journal of the Royal Statistical Society, Series B 39(1):1-38.
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.1
Laird, N.2
Rubin, D.3
-
12
-
-
0037262841
-
Being Bayesian about network structure: A Bayesian approach to structure discovery in bayesian networks
-
Friedman, N. and D. Koller. 2003. Being Bayesian about network structure: A Bayesian approach to structure discovery in bayesian networks. Machine Learning 50(1-2):95-125.
-
(2003)
Machine Learning
, vol.50
, Issue.1-2
, pp. 95-125
-
-
Friedman, N.1
Koller, D.2
-
14
-
-
0000868434
-
Bayesian networks for knowledge discovery
-
eds. U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, pp, Cambridge, MA: MIT Press
-
Heckerman, D. 1996. Bayesian networks for knowledge discovery. In: Advances in Knowledge Discovery and Data Mining, eds. U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, pp. 273-305. Cambridge, MA: MIT Press.
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 273-305
-
-
Heckerman, D.1
-
15
-
-
7544223741
-
-
Hodge, V. J. and J. Austin, 2004. A. survey of outlier detection methodologies. Artificial Intelligence Review 22(2):85-126.
-
Hodge, V. J. and J. Austin, 2004. A. survey of outlier detection methodologies. Artificial Intelligence Review 22(2):85-126.
-
-
-
-
16
-
-
0001259111
-
Bayesian model averaging: A tutorial
-
Hoeting, J. A., D. Madigan, A. E. Raftery, and G. T. Volinsky. 1999. Bayesian model averaging: A tutorial. Statistical Science 14 (4):382-417.
-
(1999)
Statistical Science
, vol.14
, Issue.4
, pp. 382-417
-
-
Hoeting, J.A.1
Madigan, D.2
Raftery, A.E.3
Volinsky, G.T.4
-
19
-
-
2942674608
-
Survey of fraud detection techniques
-
Kou, Y., C.-T. Lu, S. Sirwongwattana, and Y.-P. Huang. 2004. Survey of fraud detection techniques. In: Proceedings of the 2004 IEEE International Conference on Networking, Sensing and Control, pp. 749-754.
-
(2004)
Proceedings of the 2004 IEEE International Conference on Networking, Sensing and Control
, pp. 749-754
-
-
Kou, Y.1
Lu, C.-T.2
Sirwongwattana, S.3
Huang, Y.-P.4
-
21
-
-
0030192667
-
Learning Bayesian network structures by searching for the best ordering with genetic algorithms
-
Larrañaga, P., C. M. Kuijpers, R. H. Murga, and Y. Yurramendi. 1996. Learning Bayesian network structures by searching for the best ordering with genetic algorithms. IEEE Transactions on Systems, Man and Cybernetics 26(4):487-493.
-
(1996)
IEEE Transactions on Systems, Man and Cybernetics
, vol.26
, Issue.4
, pp. 487-493
-
-
Larrañaga, P.1
Kuijpers, C.M.2
Murga, R.H.3
Yurramendi, Y.4
-
24
-
-
0038721417
-
Pattern recognition in the automatic inspection of aluminium castings
-
Mery, D., R. R. da Silva, L. P. Caloba, and J. M. Rebello. 2003. Pattern recognition in the automatic inspection of aluminium castings. Insight 45(7):431-439.
-
(2003)
Insight
, vol.45
, Issue.7
, pp. 431-439
-
-
Mery, D.1
da Silva, R.R.2
Caloba, L.P.3
Rebello, J.M.4
-
27
-
-
1942452317
-
Optimal reinsertion: A new search operator for accelerated and more accurate Bayesian network structure learning
-
Menlo Park, CA: AAAI Press, pp
-
Moore, A. and W.-K. Wong. 2003. Optimal reinsertion: A new search operator for accelerated and more accurate Bayesian network structure learning. In: Proceedings of 20th International, Conference on Machine, Learning ICML, Menlo Park, CA: AAAI Press, pp. 552-559.
-
(2003)
Proceedings of 20th International, Conference on Machine, Learning ICML
, pp. 552-559
-
-
Moore, A.1
Wong, W.-K.2
-
32
-
-
0003545910
-
-
New York, NY: John Wiley and Sons, Inc
-
Scott, D. W. 1992. Multivariate Density Estimation: Theory, Practice, and Visualization. New York, NY: John Wiley and Sons, Inc.
-
(1992)
Multivariate Density Estimation: Theory, Practice, and Visualization
-
-
Scott, D.W.1
-
34
-
-
33847355183
-
An accelerated algorithm for density estimation in large databases using Gaussian mixtures
-
Soto, A., F. Zavala, and A. Araneda. 2007. An accelerated algorithm for density estimation in large databases using Gaussian mixtures. Cybernetics and Systems 38(2):123-139.
-
(2007)
Cybernetics and Systems
, vol.38
, Issue.2
, pp. 123-139
-
-
Soto, A.1
Zavala, F.2
Araneda, A.3
-
35
-
-
0003614273
-
-
Cambridge, MA: The MIT Press
-
Spirtes, P., C. Glymour, and R. Scheines. 2000. Causation, Prediction, and Search. Cambridge, MA: The MIT Press.
-
(2000)
Causation, Prediction, and Search
-
-
Spirtes, P.1
Glymour, C.2
Scheines, R.3
|