-
1
-
-
34547535389
-
Sampling approaches to learning from unbalanced datasets: Active learning, cost sensitive learning and beyond
-
N. Abe. Sampling approaches to learning from unbalanced datasets: active learning, cost sensitive learning and beyond. In Proc. of ICML-KDD'03 Workshop: Learning from Imbalanced Data Sets.
-
Proc. of ICML-KDD'03 Workshop: Learning from Imbalanced Data Sets
-
-
Abe, N.1
-
4
-
-
27144531570
-
A study of the behavior of several methods for balancing machine learning training data
-
G. E. A. P. A. Batista, R. C. Prati, and M. C. Monard. A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explor. Newsl,6(1), 2004.
-
(2004)
SIGKDD Explor. Newsl
, Issue.1
, pp. 6
-
-
Batista, G.E.A.P.A.1
Prati, R.C.2
Monard, M.C.3
-
5
-
-
27144549260
-
Editorial: Special issue on learning from imbalanced data sets
-
N. V. Chawla, N. Japkowicz, and A. Kotcz. Editorial: special issue on learning from imbalanced data sets. SIGKDD Explor. Newsl,6(1), 2004.
-
(2004)
SIGKDD Explor. Newsl
, Issue.1
, pp. 6
-
-
Chawla, N.V.1
Japkowicz, N.2
Kotcz, A.3
-
7
-
-
85084773931
-
Systematic data selection to mine concept-drifting data streams
-
W. Fan. Systematic data selection to mine concept-drifting data streams. In Proc. of KDD '04-
-
Proc. of KDD '04
-
-
Fan, W.1
-
9
-
-
70449106267
-
-
T. Hastie, R.Tibshirani, J. Friedman.The Elements of Statistical Learning.Springer-Verlag,2001.
-
T. Hastie, R.Tibshirani, J. Friedman.The Elements of Statistical Learning.Springer-Verlag,2001.
-
-
-
-
12
-
-
0030085913
-
Analysis of decision boundaries in linearly combined neural classifiers
-
K. Turner and J. Ghosh.Analysis of decision boundaries in linearly combined neural classifiers.Pattern Recognition,29(2),1996.
-
(1996)
Pattern Recognition
, vol.29
, Issue.2
-
-
Turner, K.1
Ghosh, J.2
-
13
-
-
70449094874
-
-
I. Witten and E. Frank. Data Mining: Practical machine learning tools and techniques. Morgan Kauf-mann,2005.
-
I. Witten and E. Frank. Data Mining: Practical machine learning tools and techniques. Morgan Kauf-mann,2005.
-
-
-
-
14
-
-
70449130662
-
Mining concept-drifting data streams using ensemble classifiers
-
H. Wang, W. Fan, P. S. Yu, and J. Han. Mining concept-drifting data streams using ensemble classifiers. In Proc. of KDD 'OS,2003.
-
(2003)
Proc. of KDD 'OS
-
-
Wang, H.1
Fan, W.2
Yu, P.S.3
Han, J.4
-
15
-
-
0003790115
-
The effect of class distribution on classifier learning
-
Technical Report ML-TR-43, Rutgers University
-
G. Weiss and F. Provost. The effect of class distribution on classifier learning. Technical Report ML-TR-43, Rutgers University., 2001.
-
(2001)
-
-
Weiss, G.1
Provost, F.2
-
16
-
-
14344263881
-
Probabilistic score estimation with piece wise logistic regression
-
J. Zhang and Y. Yang. Probabilistic score estimation with piece wise logistic regression. In Prof, of ICML '04,2004.
-
(2004)
Prof, of ICML '04
-
-
Zhang, J.1
Yang, Y.2
|