-
1
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Series B
-
A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, 39:1-38, Series B, 1977.
-
(1977)
Journal of the Royal Statistical Society
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
3
-
-
0003578015
-
-
Halsted Press, New York, 2nd edition
-
B. Everitt. Cluster Analysis. Halsted Press, New York, 2nd edition, 1980.
-
(1980)
Cluster Analysis
-
-
Everitt, B.1
-
4
-
-
0027580356
-
Very simple classification rules perform well on most commonly used data sets
-
R. C. Holte. Very simple classification rules perform well on most commonly used data sets. Machine Learning, 3:63-91, 1993.
-
(1993)
Machine Learning
, vol.3
, pp. 63-91
-
-
Holte, R.C.1
-
5
-
-
84904506139
-
MLC++: A machine learning library in C++
-
IEEE Computer Society Press
-
R. Kohavi, G. John, R. Long, D. Manley, and K. Pfleger. MLC++: A machine learning library in C++. In Tools with Artificial Intelligence, pages 740-743, IEEE Computer Society Press, 1994.
-
(1994)
Tools with Artificial Intelligence
, pp. 740-743
-
-
Kohavi, R.1
John, G.2
Long, R.3
Manley, D.4
Pfleger, K.5
-
7
-
-
84904466277
-
-
Carnegie-Mellon University, Department of Computer Science, Pittsburgh, PA
-
P. Langley and R. T. Neches. PRISM user's manual Technical report, Carnegie-Mellon University, Department of Computer Science, Pittsburgh, PA, 1981.
-
(1981)
PRISM User's Manual Technical Report
-
-
Langley, P.1
Neches, R.T.2
-
8
-
-
0013010796
-
Conceptual clustering as discrimination learning
-
London, Ontario, Canada
-
P. Langley and S. Sage. Conceptual clustering as discrimination learning. In Proceedings of the Fifth Biennial Conference of the Canadian Society for Computational Studies of Intelligence, pages 95-98, London, Ontario, Canada, 1984.
-
(1984)
Proceedings of the Fifth Biennial Conference of the Canadian Society for Computational Studies of Intelligence
, pp. 95-98
-
-
Langley, P.1
Sage, S.2
-
11
-
-
0003046842
-
Learning from observation: Conceptual clustering
-
R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, editors, Morgan Kaufmann, San Francisco, CA
-
R. S. Michalski and R. E. Stepp. Learning from observation: Conceptual clustering. In R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, editors, Machine Learning: An Artificial Intelligence Approach. Morgan Kaufmann, San Francisco, CA, 1983.
-
(1983)
Machine Learning: An Artificial Intelligence Approach
-
-
Michalski, R.S.1
Stepp, R.E.2
-
14
-
-
0027552829
-
Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization
-
M. M. Veloso and J. G. Carbonell. Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization. Machine Learning, 10:249-278, 1993.
-
(1993)
Machine Learning
, vol.10
, pp. 249-278
-
-
Veloso, M.M.1
Carbonell, J.G.2
-
15
-
-
3543074169
-
K-harmonic means - A spatial clustering algorithm with boosting
-
B. Zhang, M. Hsu, and U. Dayal. K-harmonic means - A spatial clustering algorithm with boosting. In Proceedings of the PKDD-2000 Workshop on Temporal, Spatial, and Spatio-Temporal Data Mining, 2000.
-
(2000)
Proceedings of the PKDD-2000 Workshop on Temporal, Spatial, and Spatio-Temporal Data Mining
-
-
Zhang, B.1
Hsu, M.2
Dayal, U.3
|