-
1
-
-
85084725117
-
-
Leo Breiman, Bagging predictors, Machine Learning, 24(2):123.140, 1996.
-
Leo Breiman, "Bagging predictors," Machine Learning, 24(2):123.140, 1996.
-
-
-
-
2
-
-
0035478854
-
-
Leo Breiman, Random Forests, Machine Learning, 45(1):5.32, 2001.
-
Leo Breiman, "Random Forests," Machine Learning, 45(1):5.32, 2001.
-
-
-
-
3
-
-
0343866202
-
Classification and regression trees
-
Belmont, California
-
Leo Breiman, Jerome H. Friedman, Richard A. Olshen, and Charles J. Stone, "Classification and regression trees," Wadsworth Inc., Belmont, California, 1984.
-
(1984)
Wadsworth Inc
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
4
-
-
0032280519
-
Boosting the margin: A new explanation for the effectiveness of voting methods
-
R. Schapire, Y. Freund, P. Bartlett, and W. Lee, "Boosting the margin: a new explanation for the effectiveness of voting methods," Ann. Statist., 26(5):1651-1686, 1998.
-
(1998)
Ann. Statist
, vol.26
, Issue.5
, pp. 1651-1686
-
-
Schapire, R.1
Freund, Y.2
Bartlett, P.3
Lee, W.4
-
5
-
-
33750357665
-
Improving Random Forests
-
J.F. Boulicaut et al, eds, Springer, Berlin
-
Marko Robnik-Sikonja, "Improving Random Forests," In J.F. Boulicaut et al. (eds): Machine Learning, ECML 2004 Proceedings, Springer, Berlin, 2004.
-
(2004)
Machine Learning, ECML 2004 Proceedings
-
-
Robnik-Sikonja, M.1
-
7
-
-
0031381525
-
Wrappers for feature subset selection
-
R. Kohavi and G. H. John, "Wrappers for feature subset selection," Artifcial Intelligence, 97(1-2):273-324, 1997.
-
(1997)
Artifcial Intelligence
, vol.97
, Issue.1-2
, pp. 273-324
-
-
Kohavi, R.1
John, G.H.2
-
9
-
-
33947249728
-
Evaluation of ordinal attributes at value level
-
Marko Robnik-Sikonja, Koen Vanhoof, "Evaluation of ordinal attributes at value level," Data Mining and Knowledge Discovery, v. 14 n. 2, p. 225-243, 2007
-
(2007)
Data Mining and Knowledge Discovery
, vol.14
, Issue.2
, pp. 225-243
-
-
Robnik-Sikonja, M.1
Vanhoof, K.2
-
10
-
-
51849117987
-
-
M.A. Hall, L.A. Smith, Practical feature subset selection for machine learning, In Proceedings of the 21st Australian Compute Science Conference, pp. 181.191, 1998
-
M.A. Hall, L.A. Smith, "Practical feature subset selection for machine learning," In Proceedings of the 21st Australian Compute Science Conference, pp. 181.191, 1998
-
-
-
-
11
-
-
33749253141
-
Iterative RELIEF for feature weighting
-
Pittsburgh, Pennsylvania
-
Yijun Sun, Jian Li, "Iterative RELIEF for feature weighting," Proceedings of the 23rd international conference on Machine learning, p. 913-920, Pittsburgh, Pennsylvania, 2006
-
(2006)
Proceedings of the 23rd international conference on Machine learning
, pp. 913-920
-
-
Sun, Y.1
Li, J.2
-
12
-
-
0141990695
-
Theoretical and Empirical Analysis of ReliefF and RReliefF
-
Marko Robnik-Sikonja, Igor Kononenko, "Theoretical and Empirical Analysis of ReliefF and RReliefF," Machine Learning, v. 53 n. 1-2, p. 23-69, 2003
-
(2003)
Machine Learning
, vol.53
, Issue.1-2
, pp. 23-69
-
-
Robnik-Sikonja, M.1
Kononenko, I.2
-
13
-
-
51849091304
-
Data reduction: Feature selection, Handbook of data mining and knowledge discovery
-
New York, NY
-
Hiroshi Motoda, Huan Liu, "Data reduction: feature selection, Handbook of data mining and knowledge discovery," Oxford University Press, Inc., New York, NY, 2002
-
(2002)
Oxford University Press, Inc
-
-
Motoda, H.1
Liu, H.2
-
15
-
-
4644347255
-
A selective sampling approach to active feature selection
-
Huan Liu, Hiroshi Motoda, Lei Yu, "A selective sampling approach to active feature selection," Artificial Intelligence, v. 159 n. 1-2, p. 49-74, 2004
-
(2004)
Artificial Intelligence
, vol.159
, Issue.1-2
, pp. 49-74
-
-
Liu, H.1
Motoda, H.2
Yu, L.3
-
16
-
-
1942418470
-
Grafting: Fast, incremental feature selection by gradient descent in function space
-
Simon Perkins, Kevin Lacker, James Theiler, "Grafting: fast, incremental feature selection by gradient descent in function space," The Journal of Machine Learning Research, 3, 2003
-
(2003)
The Journal of Machine Learning Research
, vol.3
-
-
Perkins, S.1
Lacker, K.2
Theiler, J.3
|