-
1
-
-
0030235637
-
Error reduction through learning multiple descriptions
-
September
-
K. M. Ali and M. J. Pazzani. Error reduction through learning multiple descriptions. Machine Learning, 24 (3):173-202, September 1996.
-
(1996)
Machine Learning
, vol.24
, Issue.3
, pp. 173-202
-
-
Ali, K.M.1
Pazzani, M.J.2
-
2
-
-
0001931577
-
An empirical comparison of voting classification algorithms: Bagging, boosting and variants
-
Submitted
-
E. Bauer and R. Kohavi. An empirical comparison of voting classification algorithms: Bagging, boosting and variants. Machine Learning, Submitted:1-33, 1998.
-
(1998)
Machine Learning
, pp. 1-33
-
-
Bauer, E.1
Kohavi, R.2
-
3
-
-
0004224961
-
Heuristics of instability in model selection
-
Statistics Department, University of California at Berkeley, California
-
L. Breiman. Heuristics of instability in model selection. Technical report, Statistics Department, University of California at Berkeley, California, 1994.
-
(1994)
Technical report
-
-
Breiman, L.1
-
4
-
-
0030211964
-
Bagging predictors
-
L. Breiman. Bagging predictors. Machine Learning, 24:123-140, 1996.
-
(1996)
Machine Learning
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
9
-
-
0006295168
-
Meta-learning for parallel data mining
-
Fujitsu Laboratories Ltd., November
-
Y. Guo, S. Rüeger, J. Sutiwaraphun, and J. Forbes-Millott. Meta-learning for parallel data mining. In Proceedings of the Seventh Parallel Computing Workshop, pages 1-2. Fujitsu Laboratories Ltd., November 1997.
-
(1997)
Proceedings of the Seventh Parallel Computing Workshop
, pp. 1-2
-
-
Guo, Y.1
Rüeger, S.2
Sutiwaraphun, J.3
Forbes-Millott, J.4
-
10
-
-
84947770209
-
Knowledge probing in distributed data mining
-
Department of Computing, Imperial College, September
-
Y. Guo and J. Sutiwaraphun. Knowledge probing in distributed data mining. Technical report, Department of Computing, Imperial College, September 1998.
-
(1998)
Technical report
-
-
Guo, Y.1
Sutiwaraphun, J.2
-
12
-
-
0030422272
-
Data mining using MLC++: A machine learning library in C++
-
IEEE Computer Society Press, November
-
R. Kohavi, D. Sommerfield, and J. Dougherty. Data mining using MLC++: A machine learning library in C++. In Tools With Artificial Intelligence 1996, pages 234-245. IEEE Computer Society Press, November 1996. http://www.sgi.com/Technology/mlc.
-
(1996)
Tools With Artificial Intelligence 1996
, pp. 234-245
-
-
Kohavi, R.1
Sommerfield, D.2
Dougherty, J.3
-
14
-
-
0003408496
-
-
University of California, Department of Information and Computer Science
-
C. J. Merz and P. M. Murphy. UCI repository of machine learning databases. University of California, Department of Information and Computer Science, http://www.ics.uci.edu/~mlearn/MLRepository.html, 1996.
-
(1996)
UCI repository of machine learning databases
-
-
Merz, C.J.1
Murphy, P.M.2
-
15
-
-
84947727043
-
Investigating into distributed data mining
-
Department of Computing, Imperial College, May
-
J. Sutiwaraphun. Investigating into distributed data mining. Technical report, Department of Computing, Imperial College, May 1998.
-
(1998)
Technical report
-
-
Sutiwaraphun, J.1
-
16
-
-
0030703799
-
Distributed cooperative bayesian learning strategies
-
Nashville, TN, July, ACM, New York
-
K. Yamanishi. Distributed cooperative bayesian learning strategies. In Proceedings of the 1997 10th Annual Conference on Computational Learning Theory, pages 250-262, Nashville, TN, July 1997. ACM, New York.
-
(1997)
Proceedings of the 1997 10th Annual Conference on Computational Learning Theory
, pp. 250-262
-
-
Yamanishi, K.1
|