-
1
-
-
0034324043
-
A formalism for relevance and its application in feature subset selection
-
Bell, D., Wang, H.: A formalism for relevance and its application in feature subset selection. Mach. Learn. 4(2), 175-195 (2000).
-
(2000)
Mach. Learn.
, vol.4
, Issue.2
, pp. 175-195
-
-
Bell, D.1
Wang, H.2
-
2
-
-
31944452324
-
An introduction to ensemble methods for data analysis
-
Berk, R. A.: An introduction to ensemble methods for data analysis. Sociol. Methods Res. 34(3), 263-295 (2006).
-
(2006)
Sociol. Methods Res.
, vol.34
, Issue.3
, pp. 263-295
-
-
Berk, R.A.1
-
3
-
-
0030344230
-
The heuristic of instability in model selection
-
Breiman, L.: The heuristic of instability in model selection. Ann. Stat. 24, 2350-2383 (1996).
-
(1996)
Ann. Stat.
, vol.24
, pp. 2350-2383
-
-
Breiman, L.1
-
4
-
-
0035478854
-
Random Forests
-
Breiman, L.: Random Forests. Mach. Learn. 45, 5-32 (2001a).
-
(2001)
Mach. Learn.
, vol.45
, pp. 5-32
-
-
Breiman, L.1
-
5
-
-
0000245743
-
Statistical modeling: the two cultures
-
Breiman, L.: Statistical modeling: the two cultures. Stat. Sci. 16, 199-231 (2001b).
-
(2001)
Stat. Sci.
, vol.16
, pp. 199-231
-
-
Breiman, L.1
-
7
-
-
0003802343
-
-
London: Chapman & Hall
-
Breiman, L., Friedman, J. H., Olshen, R. A., Stone, C. J.: Classification and Regression Trees. Chapman & Hall, London (1984).
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
8
-
-
79958810091
-
Breiman and Cutler's Random Forests for classification and regression
-
Breiman, L., Cutler, A., Liaw, A., Wiener, M.: Breiman and Cutler's Random Forests for classification and regression. R package version 4. 5-18 (2006). http://cran. r-project. org/doc/packages/randomForest. pdf.
-
(2006)
R package version
, vol.4
, pp. 5-18
-
-
Breiman, L.1
Cutler, A.2
Liaw, A.3
Wiener, M.4
-
9
-
-
0043289776
-
Analyzing bagging
-
Bühlmann, P., Yu, B.: Analyzing bagging. Ann. Stat. 30(4), 927-961 (2002).
-
(2002)
Ann. Stat.
, vol.30
, Issue.4
, pp. 927-961
-
-
Bühlmann, P.1
Yu, B.2
-
10
-
-
77956870347
-
-
Dobra, A., Gehrke, J.: Bias correction in classification tree construction. In: Brodley, C. E., Danyluk, A. P. (eds.) Proceedings of the Seventeenth International Conference on Machine Learning, Williams College, Williamstown, MA, USA, pp. 90-97 (2001).
-
-
-
-
11
-
-
0035470889
-
Greedy function approximation: a gradient boosting machine
-
Friedman, J. H.: Greedy function approximation: a gradient boosting machine. Ann. Stat. 29, 1189-1232 (2001).
-
(2001)
Ann. Stat.
, vol.29
, pp. 1189-1232
-
-
Friedman, J.H.1
-
12
-
-
77956355578
-
-
Technical report, Standford University
-
Friedman, J. H.: Tutorial: getting started with MART in R. Technical report, Standford University (2002). http://www-stat. stanford. edu/~jhf/r-mart/tutorial/tutorial. pdf.
-
(2002)
Tutorial: Getting started with MART in R
-
-
Friedman, J.H.1
-
13
-
-
33749677657
-
Unbiased recursive partitioning: a conditional inference framework
-
Hothorn, T., Hornik, K., Zeileis, A.: Unbiased recursive partitioning: a conditional inference framework. J. Comput. Graph. Stat. 15(3), 651-674 (2006).
-
(2006)
J. Comput. Graph. Stat.
, vol.15
, Issue.3
, pp. 651-674
-
-
Hothorn, T.1
Hornik, K.2
Zeileis, A.3
-
14
-
-
1542573450
-
Classification trees with unbiased multiway splits
-
Kim, H., Loh, W.: Classification trees with unbiased multiway splits. J. Am. Stat. Assoc. 96, 589-604 (2001).
-
(2001)
J. Am. Stat. Assoc.
, vol.96
, pp. 589-604
-
-
Kim, H.1
Loh, W.2
-
15
-
-
77956885021
-
-
Kononenko, I.: On biases in estimating multi-valued attributes. In: Mellish, C. (ed.) Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, Montréal, Canada, pp. 1034-1040 (1995).
-
-
-
-
16
-
-
0345040873
-
Classification and regression by Random Forest
-
Liaw, A., Wiener, M.: Classification and regression by Random Forest. R News 2(3), 18-22 (2002).
-
(2002)
R News
, vol.2
, Issue.3
, pp. 18-22
-
-
Liaw, A.1
Wiener, M.2
-
17
-
-
0031312210
-
Split selection methods for classification trees
-
Loh, W.-Y., Shih, Y.-S.: Split selection methods for classification trees. Stat. Sinica 7, 815-840 (1997).
-
(1997)
Stat. Sinica
, vol.7
, pp. 815-840
-
-
Loh, W.-Y.1
Shih, Y.-S.2
-
18
-
-
77956884378
-
Automatic construction of decision trees from data: a multi-disciplinary survey
-
Murthy, K.: Automatic construction of decision trees from data: a multi-disciplinary survey. Data Min. Knowl. Discov. 2(4), 1384-5810 (2004).
-
(2004)
Data Min. Knowl. Discov.
, vol.2
, Issue.4
, pp. 1384-5810
-
-
Murthy, K.1
-
19
-
-
0024349941
-
Determinants of plasma levels of beta-carotene and retinol
-
Nierenberg, D. W., Stukel, T. A., Baron, J. A., Dain, B. J., Greenberg, E. R.: Determinants of plasma levels of beta-carotene and retinol. Am. J. Epidemiol. 130, 511-521 (1989).
-
(1989)
Am. J. Epidemiol.
, vol.130
, pp. 511-521
-
-
Nierenberg, D.W.1
Stukel, T.A.2
Baron, J.A.3
Dain, B.J.4
Greenberg, E.R.5
-
21
-
-
84907095419
-
R: A language and environment for statistical computing
-
R Development Core Team, Vienna, Austria. ISBN 3-900051-07-0
-
R Development Core Team: R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www. R-project. org. (2008).
-
(2008)
R Foundation for Statistical Computing
-
-
-
23
-
-
53549131556
-
A bias correction algorithm for the Gini variable importance measure in classification trees
-
Sandri, M., Zuccolotto, P.: A bias correction algorithm for the Gini variable importance measure in classification trees. J. Comput. Graph. Stat. 17(3), 1-18 (2008).
-
(2008)
J. Comput. Graph. Stat.
, vol.17
, Issue.3
, pp. 1-18
-
-
Sandri, M.1
Zuccolotto, P.2
-
24
-
-
33646517317
-
Boosted regression (boosting): a tutorial and a stata plugin
-
Schonlau, M.: Boosted regression (boosting): a tutorial and a stata plugin. Stata J. 5(3), 330-354 (2005).
-
(2005)
Stata J.
, vol.5
, Issue.3
, pp. 330-354
-
-
Schonlau, M.1
-
25
-
-
0042942219
-
Families of splitting criteria for classification trees
-
Shih, Y.-S.: Families of splitting criteria for classification trees. Stat. Comput. 9, 309-315 (1999).
-
(1999)
Stat. Comput.
, vol.9
, pp. 309-315
-
-
Shih, Y.-S.1
-
27
-
-
34548250123
-
Unbiased split selection for classification trees based on the Gini index
-
doi:10.1016/j.csda.2006.12.030
-
Strobl, C., Boulesteix, A.-L., Augustin, T.: Unbiased split selection for classification trees based on the Gini index. Comput. Stat. Data Anal. (2007a). doi: 10. 1016/j. csda. 2006. 12. 030.
-
(2007)
Comput. Stat. Data Anal.
-
-
Strobl, C.1
Boulesteix, A.-L.2
Augustin, T.3
-
28
-
-
33847096395
-
Bias in random forest variable importance measures: illustrations, sources and a solution
-
doi:10.1186/1471-2105-8-25
-
Strobl, C., Boulesteix, A.-L., Zeileis, A., Hothorn, T.: Bias in random forest variable importance measures: illustrations, sources and a solution. BMC Bioinf. 8, 25 (2007b). doi: 10. 1186/1471-2105-8-25.
-
(2007)
BMC Bioinf.
, vol.8
, pp. 25
-
-
Strobl, C.1
Boulesteix, A.-L.2
Zeileis, A.3
Hothorn, T.4
-
29
-
-
48549095457
-
Conditional variable importance for random forests
-
doi:10.1186/1471-2105-9-307
-
Strobl, C., Boulesteix, A.-L., Kneib, T., Augustin, T., Zeileis, A.: Conditional variable importance for random forests. BMC Bioinf. 9, 307 (2008). doi: 10. 1186/1471-2105-9-307.
-
(2008)
BMC Bioinf.
, vol.9
, pp. 307
-
-
Strobl, C.1
Boulesteix, A.-L.2
Kneib, T.3
Augustin, T.4
Zeileis, A.5
-
30
-
-
33645861937
-
Statistical inference for variable importance
-
van der Laan, M. J.: Statistical inference for variable importance. Int. J. Biostat. 2(1), 1-30 (2005).
-
(2005)
Int. J. Biostat.
, vol.2
, Issue.1
, pp. 1-30
-
-
van der Laan, M.J.1
-
31
-
-
0028443213
-
Bias in information-based measures in decision tree induction
-
White, A. P., Liu, W. Z.: Bias in information-based measures in decision tree induction. Mach. Learn. 15, 321-329 (1994).
-
(1994)
Mach. Learn.
, vol.15
, pp. 321-329
-
-
White, A.P.1
Liu, W.Z.2
-
32
-
-
33947248175
-
Controlling variable selection by the addition of pseudovariables
-
Wu, Y., Boos, D. D., Stefanski, L. A.: Controlling variable selection by the addition of pseudovariables. J. Am. Stat. Assoc. 102(477), 235-243 (2007).
-
(2007)
J. Am. Stat. Assoc.
, vol.102
, Issue.477
, pp. 235-243
-
-
Wu, Y.1
Boos, D.D.2
Stefanski, L.A.3
|