-
2
-
-
0001972236
-
Addressing the curse of unbalanced training sets: One-sided selection
-
Morgan Kaufmann, Los Altas, Ca
-
M. Kubat, S. Matwin, Addressing the curse of unbalanced training sets: one-sided selection, in: Proceedings of the 14th International Conference on Machine Learning, Morgan Kaufmann, Los Altas, Ca, 1997, pp. 179-186.
-
(1997)
Proceedings of the 14th International Conference on Machine Learning
, pp. 179-186
-
-
Kubat, M.1
Matwin, S.2
-
3
-
-
0001924639
-
Neural network classification and unequal prior class probabilities
-
G. Orr, K.-R. Müller, R. Caruana (Eds.), Tricks of the Trade, Springer, Berlin
-
S. Lawrence, I. Burns, A. Back, A. Tsoi, C.L. Giles, Neural network classification and unequal prior class probabilities, in: G. Orr, K.-R. Müller, R. Caruana (Eds.), Tricks of the Trade, Lecture Notes in Computer Science State-of-the-Art Surveys, Springer, Berlin, 1998, pp. 299-314.
-
(1998)
Lecture Notes in Computer Science State-of-the-art Surveys
, pp. 299-314
-
-
Lawrence, S.1
Burns, I.2
Back, A.3
Tsoi, A.4
Giles, C.L.5
-
4
-
-
0346586663
-
Smote: Synthetic minority over-sampling technique
-
N.V. Chawla, K.W. Bowyer, L. Hall, W.P. Kegelmeyer, Smote: synthetic minority over-sampling technique, J. Artif. Intell. Res. 16 (2002) 321-357.
-
(2002)
J. Artif. Intell. Res.
, vol.16
, pp. 321-357
-
-
Chawla, N.V.1
Bowyer, K.W.2
Hall, L.3
Kegelmeyer, W.P.4
-
5
-
-
0036522693
-
Strategies for learning in class imbalance problems
-
R. Barandela, J. Sanchez, V. García, E. Rangel, Strategies for learning in class imbalance problems, Pattern Recognition 36 (3) (2003) 849-851.
-
(2003)
Pattern Recognition
, vol.36
, Issue.3
, pp. 849-851
-
-
Barandela, R.1
Sanchez, J.2
García, V.3
Rangel, E.4
-
6
-
-
1942482069
-
Learning with non-uniform class and cost distributions: Effects and a distributed multi-classifier approach
-
P. Chan, S. Stolfo, Learning with non-uniform class and cost distributions: effects and a distributed multi-classifier approach, in: Workshop Notes KDD-98 Workshop on Distributed Data Mining, 1998, pp. 1-9.
-
(1998)
Workshop Notes KDD-98 Workshop on Distributed Data Mining
, pp. 1-9
-
-
Chan, P.1
Stolfo, S.2
-
7
-
-
0036134369
-
Adjusting a classifier for new a priori probabilities: A simple procedure
-
M. Saerens, P. Latinne, C. Decaestecker, Adjusting a classifier for new a priori probabilities: a simple procedure, Neural Comput. 14 (2002) 21-41.
-
(2002)
Neural Comput.
, vol.14
, pp. 21-41
-
-
Saerens, M.1
Latinne, P.2
Decaestecker, C.3
-
8
-
-
0000833531
-
The impact of changing populations on classifier performance
-
San Diego, CA
-
M.G. Kelly, D.J. Hand, N.M. Adams, The impact of changing populations on classifier performance, in: Proceedings of Fifth International Conference on SIG Knowledge Discovery and Data Mining (SIGKDD), San Diego, CA, 1999, pp. 367-371.
-
(1999)
Proceedings of Fifth International Conference on SIG Knowledge Discovery and Data Mining (SIGKDD)
, pp. 367-371
-
-
Kelly, M.G.1
Hand, D.J.2
Adams, N.M.3
-
9
-
-
0031998121
-
Machine learning for the detection of oil spills in satellite radar images
-
M. Kubat, R. Holte, S. Matwin, Machine learning for the detection of oil spills in satellite radar images, Mach. Learning 30 (2/3) (1998) 195-215.
-
(1998)
Mach. Learning
, vol.30
, Issue.2-3
, pp. 195-215
-
-
Kubat, M.1
Holte, R.2
Matwin, S.3
-
10
-
-
0035283313
-
Robust classification systems for imprecise environments
-
F.J. Provost, T. Fawcett, Robust classification systems for imprecise environments, Mach. Learning 42 (3) (2001) 203-231.
-
(2001)
Mach. Learning
, vol.42
, Issue.3
, pp. 203-231
-
-
Provost, F.J.1
Fawcett, T.2
-
11
-
-
0033164667
-
Comparing classifiers when the misallocation costs are uncertain
-
N.M. Adams, D.J. Hand, Comparing classifiers when the misallocation costs are uncertain, Pattern Recognition 32 (7) (1998) 1139-1147.
-
(1998)
Pattern Recognition
, vol.32
, Issue.7
, pp. 1139-1147
-
-
Adams, N.M.1
Hand, D.J.2
-
12
-
-
0003802343
-
-
Chapman & Hall, New York
-
L. Breiman, J. Friedman, R. Olshen, C. Stone, Classification and Regression Trees, Chapman & Hall, New York, 1984.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.2
Olshen, R.3
Stone, C.4
-
14
-
-
0013316935
-
Adacost: Misclassification cost-sensitive boosting
-
W. Fan, S. Stolfo, J. Zhang, P. Chan, Adacost: misclassification cost-sensitive boosting, in: Proceedings of the 16th International Conference Machine Learning, 1999, pp. 97-105.
-
(1999)
Proceedings of the 16th International Conference Machine Learning
, pp. 97-105
-
-
Fan, W.1
Stolfo, S.2
Zhang, J.3
Chan, P.4
-
15
-
-
0004086262
-
-
Prentice-Hall, Englewood Cliffs, NJ
-
T.K. Moon, W.C. Stirling, Mathematical Methods and Algorithms for Signal Processing, Prentice-Hall, Englewood Cliffs, NJ, 2000.
-
(2000)
Mathematical Methods and Algorithms for Signal Processing
-
-
Moon, T.K.1
Stirling, W.C.2
-
16
-
-
0003922190
-
-
Wiley, New York
-
R.O. Duda, P.E. Hart, D. Stork, Pattern Classification, Wiley, New York, 2001.
-
(2001)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.3
-
17
-
-
4644259882
-
The minimax strategy for Gaussian density estimation
-
Morgan Kaufmann, San Francisco
-
E. Takimoto, M. Warmuth, The minimax strategy for Gaussian density estimation, in: Proceedings of the 13th Annual Conference on Computational Learning Theory, Morgan Kaufmann, San Francisco, 2000, pp. 100-106.
-
(2000)
Proceedings of the 13th Annual Conference on Computational Learning Theory
, pp. 100-106
-
-
Takimoto, E.1
Warmuth, M.2
-
18
-
-
0030295792
-
On a constrained optimal rule for classification with unknown prior individual group membership
-
H.-J. Kim, On a constrained optimal rule for classification with unknown prior individual group membership, J. Multivariate Anal. 59 (2) (1996) 166-186.
-
(1996)
J. Multivariate Anal.
, vol.59
, Issue.2
, pp. 166-186
-
-
Kim, H.-J.1
-
20
-
-
0003790115
-
The effect of class distribution on classifier learning
-
Department of Computer Science, Rutgers University
-
G. Weiss, F. Provost, The effect of class distribution on classifier learning, in: Technical Report ML-TR 43, Department of Computer Science, Rutgers University, 2001.
-
(2001)
Technical Report
, vol.ML-TR 43
-
-
Weiss, G.1
Provost, F.2
|