-
5
-
-
0346586663
-
Smote: Synthetic minority over-sampling technique
-
N. V. Chawla, K. W. Bowyer, L. O. Hall, and W. P. Kegelmeyer. Smote: Synthetic minority over-sampling technique. Journal of 'Artificial Intelligence Research, 16:321-357, 2002.
-
(2002)
Journal of 'Artificial Intelligence Research
, vol.16
, pp. 321-357
-
-
Chawla, N.V.1
Bowyer, K.W.2
Hall, L.O.3
Kegelmeyer, W.P.4
-
6
-
-
9444297357
-
Smoteboost: Improving prediction of the minority class in boosting
-
N. V. Chawla, A. Lazarevic, L. O. Hall, and K. W. Bowyer. Smoteboost: Improving prediction of the minority class in boosting. In Proceedings of 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, pages 107-119, 2003.
-
(2003)
Proceedings of 7th European Conference on Principles and Practice of Knowledge Discovery in Databases
, pp. 107-119
-
-
Chawla, N.V.1
Lazarevic, A.2
Hall, L.O.3
Bowyer, K.W.4
-
8
-
-
0001087620
-
Logistic regression, adaboost and bregman distances
-
M. Collins, R. E. Schapire, and Y. Singer. Logistic regression, adaboost and bregman distances. In Computational Learing Theory, pages 158-169, 2000.
-
(2000)
Computational Learing Theory
, pp. 158-169
-
-
Collins, M.1
Schapire, R.E.2
Singer, Y.3
-
9
-
-
0038391397
-
Boosting for tumor classification with gene expression data
-
M. Dettling and P. Buhlmann. Boosting for tumor classification with gene expression data. Bioinformatics, 19:1061-1069, 2003.
-
(2003)
Bioinformatics
, vol.19
, pp. 1061-1069
-
-
Dettling, M.1
Buhlmann, P.2
-
12
-
-
1442356040
-
A multiple resampling method for learning from imbalanced data sets
-
A. Estabrooks, T. Jo, and N. Japkowicz. A multiple resampling method for learning from imbalanced data sets. Computational Intelligence, 20:18-36, 2004.
-
(2004)
Computational Intelligence
, vol.20
, pp. 18-36
-
-
Estabrooks, A.1
Jo, T.2
Japkowicz, N.3
-
13
-
-
0013316935
-
Adacost: Misclassification cost-sensitive boosting
-
W. Fan, S. Stolfo, J. Zhang, and P. Chan. Adacost: Misclassification cost-sensitive boosting. In Proceedings of the 16th International Conference on Machine Learning, pages 97-105, 1999.
-
(1999)
Proceedings of the 16th International Conference on Machine Learning
, pp. 97-105
-
-
Fan, W.1
Stolfo, S.2
Zhang, J.3
Chan, P.4
-
14
-
-
2942598504
-
Variable selection in data mining: Building a predictive model for bankruptcy
-
D. P. Foster and R. A. Stine. Variable selection in data mining: Building a predictive model for bankruptcy. Journal of the American Statistical Association, 99:303-313, 2004.
-
(2004)
Journal of the American Statistical Association
, vol.99
, pp. 303-313
-
-
Foster, D.P.1
Stine, R.A.2
-
16
-
-
33845563891
-
Discussion of three papers regarding the asymptotic consistency of boosting
-
Y. Freund and R. E. Schapire. Discussion of three papers regarding the asymptotic consistency of boosting. Annals of Statistics, 32:113-117, 2004.
-
(2004)
Annals of Statistics
, vol.32
, pp. 113-117
-
-
Freund, Y.1
Schapire, R.E.2
-
17
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting
-
J. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: a statistical view of boosting. Annals of Statistics, 28:337-374, 2000.
-
(2000)
Annals of Statistics
, vol.28
, pp. 337-374
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
19
-
-
26444545593
-
Process consistency for adaboost
-
W. Jiang. Process consistency for adaboost. Annals of Statistics, 32:13-29, 2004.
-
(2004)
Annals of Statistics
, vol.32
, pp. 13-29
-
-
Jiang, W.1
-
20
-
-
33947281306
-
Does boosting overfit: Views from an exact solution
-
Technical Report 00-03, Department of Statistics, Northwestern University
-
W. Jiang. Does boosting overfit: Views from an exact solution. Technical Report 00-03, Department of Statistics, Northwestern University, 2000.
-
(2000)
-
-
Jiang, W.1
-
24
-
-
9444269961
-
On the bayes-risk consistency of regularized boosting methods
-
G. Lugosi and N. Vayatis. On the bayes-risk consistency of regularized boosting methods. Annals of Statistics, 32:30-55, 2004.
-
(2004)
Annals of Statistics
, vol.32
, pp. 30-55
-
-
Lugosi, G.1
Vayatis, N.2
-
30
-
-
26444493144
-
Boosting with early stopping: Convergence and consistency
-
T. Zhang and B. Yu. Boosting with early stopping: Convergence and consistency. Annals of Statistics, 33:1538-1579, 2005.
-
(2005)
Annals of Statistics
, vol.33
, pp. 1538-1579
-
-
Zhang, T.1
Yu, B.2
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