-
1
-
-
34249966007
-
The CN2 induction algorithm
-
P. Clark and T. Niblett. The CN2 induction algorithm. Machine Learning, 3: 261-283, 1989.
-
(1989)
Machine Learning
, vol.3
, pp. 261-283
-
-
Clark, P.1
Niblett, T.2
-
2
-
-
0031069985
-
Context-sensitive feature selection for lazy learners
-
Special issue on lazy learning, edited by David Aha
-
Pedro Domingos. Context-sensitive feature selection for lazy learners. Artificial Intelligence Review, 11: 227-253, 1997. Special issue on lazy learning, edited by David Aha.
-
(1997)
Artificial Intelligence Review
, vol.11
, pp. 227-253
-
-
Domingos, P.1
-
3
-
-
70349896377
-
Detecting concept drift in financial time series prediction using symbolic machine learning
-
In Xin Yao, editor, Singapore, World Scientific Publishing
-
M. Harries and K. Horn. Detecting concept drift in financial time series prediction using symbolic machine learning. In Xin Yao, editor, Eighth Australian Joint Conference on Artificial Intelligence, pages 91-98, Singapore, 1995. World Scientific Publishing.
-
(1995)
Eighth Australian Joint Conference on Artificial Intelligence
, pp. 91-98
-
-
Harries, M.1
Horn, K.2
-
4
-
-
85028802612
-
COBBIT-a control procedure for COBWEB in the presence of concept drift
-
In Pavel B. Brazdil, Berlin, Springer-Verlag
-
F. Kilander and C. G. Jansson. COBBIT-a control procedure for COBWEB in the presence of concept drift. In Pavel B. Brazdil, editor, European Conference on Machine Learning, pages 244-261, Berlin, 1993. Springer-Verlag.
-
(1993)
European Conference on Machine Learning
, pp. 244-261
-
-
Kilander, F.1
Jansson, C.G.2
-
5
-
-
0024896089
-
Floating approximation in time-varying knowledge bases
-
M. Kubat. Floating approximation in time-varying knowledge bases. Pattern Recognition Letters, 10: 223-227, 1989.
-
(1989)
Pattern Recognition Letters
, vol.10
, pp. 223-227
-
-
Kubat, M.1
-
7
-
-
0001172265
-
Learning logical definitions from relations
-
J. R. Quinlan. Learning logical definitions from relations. Machine Learning, 5: 239-266, 1990.
-
(1990)
Machine Learning
, vol.5
, pp. 239-266
-
-
Quinlan, J.R.1
-
10
-
-
0010012318
-
Jr. Incremental learning from noisy data
-
Jeffory Schlimmer and Richard Granger, Jr. Incremental learning from noisy data. Machine Learning, 1(3): 317-354, 1986.
-
(1986)
Machine Learning
, vol.1
, Issue.3
, pp. 317-354
-
-
Schlimmer, J.1
Granger, R.2
-
11
-
-
0005421450
-
Recognition and exploitation of contextual clues via incremental metalearning
-
Technical Report oefai-96-01
-
G. Widmer. Recognition and exploitation of contextual clues via incremental metalearning. Technical Report oefai-96-01, Austrian Research Institute for Artificial Intelligence, 1996.
-
(1996)
Austrian Research Institute for Artificial Intelligence
-
-
Widmer, G.1
-
12
-
-
85019720843
-
Effective learning in dynamic environments by explicit concept tracking
-
In Pavel B. Brazdil, editor, Berlin, Springer-Verlag
-
G. Widmer and M. Kubat. Effective learning in dynamic environments by explicit concept tracking. In Pavel B. Brazdil, editor, European Conference on Machine Learning, pages 227-243, Berlin, 1993. Springer-Verlag.
-
(1993)
European Conference on Machine Learning
, pp. 227-243
-
-
Widmer, G.1
Kubat, M.2
-
13
-
-
0030126609
-
Learning in the presence of concept drift and hidden contexts
-
G. Widmer and M. Kubat. Learning in the presence of concept drift and hidden contexts. Machine Learning, 23: 69-101, 1996.
-
(1996)
Machine Learning
, vol.23
, pp. 69-101
-
-
Widmer, G.1
Kubat, M.2
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