-
1
-
-
0034598746
-
Distinct types of diffuse large B-cell lymphoma identified by expression profiling
-
A.A. Alizadeh, M.B. Eisen, R.E. Davis, C. Ma, I.S. Lossos, A. Rosenwald, J.C. Boldrick, H. Sabet, T. Tran, X. Yu, J.I. Powell, L. Yang, G.E. Marti, T. Moore, J. Hudson, L. Lu, D.B. Lewis, R. Tibshirani, G. Sherlock, W.C. Chan, T.C. Greiner, D.D. Weisenburger, J.O. Armitage, R. Warnke, R. Levy, W. Wilson, M.R. Grever, J.C. Byrd, D. Botstein, P.O. Brown, and L.M. Staudt Distinct types of diffuse large B-cell lymphoma identified by expression profiling Nature 403 2000 503 511
-
(2000)
Nature
, vol.403
, pp. 503-511
-
-
Alizadeh, A.A.1
Eisen, M.B.2
Davis, R.E.3
Ma, C.4
Lossos, I.S.5
Rosenwald, A.6
Boldrick, J.C.7
Sabet, H.8
Tran, T.9
Yu, X.10
Powell, J.I.11
Yang, L.12
Marti, G.E.13
Moore, T.14
Hudson, J.15
Lu, L.16
Lewis, D.B.17
Tibshirani, R.18
Sherlock, G.19
Chan, W.C.20
Greiner, T.C.21
Weisenburger, D.D.22
Armitage, J.O.23
Warnke, R.24
Levy, R.25
Wilson, W.26
Grever, M.R.27
Byrd, J.C.28
Botstein, D.29
Brown, P.O.30
Staudt, L.M.31
more..
-
3
-
-
0030211964
-
Bagging predictors
-
L. Breiman Bagging predictors Mach. Learn. 24 2 1996 123 140
-
(1996)
Mach. Learn.
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
4
-
-
0004140497
-
Out-of-bag estimation
-
Statistics Department, University of California Berkeley, Berkeley, CA 94708
-
Breiman, L., 1996b. Out-of-bag estimation. Technical Report, Statistics Department, University of California Berkeley, Berkeley, CA 94708.
-
(1996)
Technical Report
-
-
Breiman, L.1
-
5
-
-
0030196364
-
Stacked regressions
-
L. Breiman Stacked regressions Mach. Learn. 24 1996 49 64
-
(1996)
Mach. Learn.
, vol.24
, pp. 49-64
-
-
Breiman, L.1
-
6
-
-
0346786584
-
Arcing classifiers
-
L. Breiman Arcing classifiers Ann. Statist. 26 3 1998 801 824
-
(1998)
Ann. Statist.
, vol.26
, Issue.3
, pp. 801-824
-
-
Breiman, L.1
-
7
-
-
0035478854
-
Random forests
-
L. Breiman Random forests Mach. Learn. 45 1 2001 5 32
-
(2001)
Mach. Learn.
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
8
-
-
0000245743
-
Statistical modeling: The two cultures
-
L. Breiman Statistical modeling the two cultures Statist. Sci. 16 3 2001 199 231 (with discussion)
-
(2001)
Statist. Sci.
, vol.16
, Issue.3
, pp. 199-231
-
-
Breiman, L.1
-
10
-
-
0043289776
-
Analyzing bagging
-
P. Bühlmann, and B. Yu Analyzing bagging Ann. Statist. 30 4 2002 927 961
-
(2002)
Ann. Statist.
, vol.30
, Issue.4
, pp. 927-961
-
-
Bühlmann, P.1
Yu, B.2
-
11
-
-
0037189765
-
Using k-nearest-neighbor classification in the leaves of a tree
-
S.E. Buttrey, and C. Karo Using k-nearest-neighbor classification in the leaves of a tree Comput. Statist. Data Anal. 40 2002 27 37
-
(2002)
Comput. Statist. Data Anal.
, vol.40
, pp. 27-37
-
-
Buttrey, S.E.1
Karo, C.2
-
12
-
-
0036643067
-
Estimating generalization error on two-class datasets using out-of-bag estimates
-
T. Bylander Estimating generalization error on two-class datasets using out-of-bag estimates Mach. Learn. 48 2002 287 297
-
(2002)
Mach. Learn.
, vol.48
, pp. 287-297
-
-
Bylander, T.1
-
13
-
-
0036489046
-
Comparison of discrimination methods for the classification of tumors using gene expression data
-
S. Dudoit, J. Fridlyand, and T.P. Speed Comparison of discrimination methods for the classification of tumors using gene expression data J. Amer. Statist. Assoc. 97 457 2002 77 87
-
(2002)
J. Amer. Statist. Assoc.
, vol.97
, Issue.457
, pp. 77-87
-
-
Dudoit, S.1
Fridlyand, J.2
Speed, T.P.3
-
14
-
-
0031536511
-
Improvements on cross-validation: The 0.632+ bootstrap method
-
B. Efron, and R. Tibshirani Improvements on cross-validation the 0.632+ bootstrap method J. Amer. Statist. Assoc. 92 438 1997 548 560
-
(1997)
J. Amer. Statist. Assoc.
, vol.92
, Issue.438
, pp. 548-560
-
-
Efron, B.1
Tibshirani, R.2
-
15
-
-
0037211316
-
Bagging tree classifiers for laser scanning images: Data- and simulation-based strategy
-
T. Hothorn, and B. Lausen Bagging tree classifiers for laser scanning images data- and simulation-based strategy Artificial Intell. Med. 27 2003 65 79
-
(2003)
Artificial Intell. Med.
, vol.27
, pp. 65-79
-
-
Hothorn, T.1
Lausen, B.2
-
16
-
-
0037410515
-
Double-bagging: Combining classifiers by bootstrap aggregation
-
T. Hothorn, and B. Lausen Double-bagging combining classifiers by bootstrap aggregation Pattern Recognition 36 6 2003 1303 1309
-
(2003)
Pattern Recognition
, vol.36
, Issue.6
, pp. 1303-1309
-
-
Hothorn, T.1
Lausen, B.2
-
18
-
-
1542573450
-
Classification trees with unbiased multiway splits
-
H. Kim, and W.-Y. Loh Classification trees with unbiased multiway splits J. Amer. Statist.l Assoc. 96 454 2001 589 604
-
(2001)
J. Amer. Statist.l Assoc.
, vol.96
, Issue.454
, pp. 589-604
-
-
Kim, H.1
Loh, W.-Y.2
-
20
-
-
0042688770
-
New multivariate tests for data with an inherent structure
-
J. Läuter, E. Glimm, and S. Kropf New multivariate tests for data with an inherent structure Biometrical J. 38 1 1996 5 23
-
(1996)
Biometrical J.
, vol.38
, Issue.1
, pp. 5-23
-
-
Läuter, J.1
Glimm, E.2
Kropf, S.3
-
21
-
-
0032282386
-
Multivariate tests based on left-spherically distributed linear scores
-
J. Läuter, E. Glimm, and S. Kropf Multivariate tests based on left-spherically distributed linear scores Ann. Statist. 26 5 1998 1972 1988 (correction: 1999, vol. 27, p. 1441)
-
(1998)
Ann. Statist.
, vol.26
, Issue.5
, pp. 1972-1988
-
-
Läuter, J.1
Glimm, E.2
Kropf, S.3
-
22
-
-
0030342815
-
Combining estimates in regression and classification
-
M. LeBlanc, and R. Tibshirani Combining estimates in regression and classification J. Amer. Statist. Assoc. 91 436 1996 1641 1650
-
(1996)
J. Amer. Statist. Assoc.
, vol.91
, Issue.436
, pp. 1641-1650
-
-
Leblanc, M.1
Tibshirani, R.2
-
24
-
-
0345040873
-
Classification and regression by randomForest
-
A. Liaw, and M. Wiener Classification and regression by randomForest R News 2 3 2002 18 22 URL http://CRAN.R-project.org/doc/Rnews/
-
(2002)
R News
, vol.2
, Issue.3
, pp. 18-22
-
-
Liaw, A.1
Wiener, M.2
-
25
-
-
0032661927
-
Using correspondence analysis to combine classifiers
-
C.J. Merz Using correspondence analysis to combine classifiers Mach. Learn. 36 1-2 1999 33 58
-
(1999)
Mach. Learn.
, vol.36
, Issue.1-2
, pp. 33-58
-
-
Merz, C.J.1
-
26
-
-
0242288813
-
The support vector machine under test
-
D. Meyer, F. Leisch, and K. Hornik The support vector machine under test Neurocomputing 55 1-2 2003 169 186
-
(2003)
Neurocomputing
, vol.55
, Issue.1-2
, pp. 169-186
-
-
Meyer, D.1
Leisch, F.2
Hornik, K.3
-
27
-
-
0031573284
-
A consistent combined classification rule
-
M. Mojirsheibani A consistent combined classification rule Statist. Probab. Lett. 36 1 1997 43 47
-
(1997)
Statist. Probab. Lett.
, vol.36
, Issue.1
, pp. 43-47
-
-
Mojirsheibani, M.1
-
28
-
-
1542637622
-
Combining classifiers via discretization
-
M. Mojirsheibani Combining classifiers via discretization J. Amer. Statist. Assoc. 94 446 1999 600 609
-
(1999)
J. Amer. Statist. Assoc.
, vol.94
, Issue.446
, pp. 600-609
-
-
Mojirsheibani, M.1
-
29
-
-
0036250785
-
An almost sure optimal combined classification rule
-
M. Mojirsheibani An almost sure optimal combined classification rule J. Multivariate Anal. 81 2002 28 46
-
(2002)
J. Multivariate Anal.
, vol.81
, pp. 28-46
-
-
Mojirsheibani, M.1
-
30
-
-
0013321815
-
Ipred: Improved predictors
-
A. Peters, T. Hothorn, and B. Lausen ipred improved predictors R News 2 2 2002 33 36 URL http://CRAN.R-project.org/doc/Rnews/
-
(2002)
R News
, vol.2
, Issue.2
, pp. 33-36
-
-
Peters, A.1
Hothorn, T.2
Lausen, B.3
-
31
-
-
0001738242
-
The out-of-bootstrap method for model averaging and selection
-
Cleveland Clinic, University of Toronto
-
Rao, J.S., Tibshirani, R., 1997. The out-of-bootstrap method for model averaging and selection. Technical Report, Cleveland Clinic, University of Toronto.
-
(1997)
Technical Report
-
-
Rao, J.S.1
Tibshirani, R.2
-
32
-
-
1542573460
-
Adaptive regression by mixing
-
Y. Yang Adaptive regression by mixing J. Amer. Statist. Assoc. 96 454 2001 574 588
-
(2001)
J. Amer. Statist. Assoc.
, vol.96
, Issue.454
, pp. 574-588
-
-
Yang, Y.1
|