-
1
-
-
37249045684
-
-
Margineantu, D, Methods for Cost-Sensitive Learning. PhD thesis, Oregon State University
-
Margineantu, D.: Methods for Cost-Sensitive Learning. PhD thesis, Oregon State University
-
-
-
-
3
-
-
37249007886
-
Introducing cost-sensitive neural networks
-
Singapore
-
Wan, C., Wang, L., Ting, K.: Introducing cost-sensitive neural networks. In: Proceedings of the 2nd International Conference on Information, Communications and Signal Processing, Singapore (1999) 445-449
-
(1999)
Proceedings of the 2nd International Conference on Information, Communications and Signal Processing
, pp. 445-449
-
-
Wan, C.1
Wang, L.2
Ting, K.3
-
4
-
-
31344442851
-
Training cost-sensitive neural networks with methods addressing the class imbalance problem
-
Zhou, Z.H., Liu, X.Y.: Training cost-sensitive neural networks with methods addressing the class imbalance problem. IEEE Transactions on Knowledge and Data Engineering 18(1) (2006) 63-77
-
(2006)
IEEE Transactions on Knowledge and Data Engineering
, vol.18
, Issue.1
, pp. 63-77
-
-
Zhou, Z.H.1
Liu, X.Y.2
-
5
-
-
0000865580
-
Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm
-
Turney, P.: Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm. Journal of Artificial Intelligence Research 2 (1995) 369-409
-
(1995)
Journal of Artificial Intelligence Research
, vol.2
, pp. 369-409
-
-
Turney, P.1
-
7
-
-
26944475562
-
Cost-sensitive ensemble of support vector machines for effective detectionof microcalcification in breast cancer diagnosis
-
Peng, Y., Huang, Q., Jiang, P., Jiang, J.: Cost-sensitive ensemble of support vector machines for effective detectionof microcalcification in breast cancer diagnosis. Lecture Notes in Computer Science 3614 (2005) 483-493
-
(2005)
Lecture Notes in Computer Science
, vol.3614
, pp. 483-493
-
-
Peng, Y.1
Huang, Q.2
Jiang, P.3
Jiang, J.4
-
10
-
-
0013316935
-
Adacost: Misclassification cost-sensitive boosting
-
Fan, W., Stolfo, S., Zhang, J., Chan, P.: Adacost: Misclassification cost-sensitive boosting. In: Proceedings of the 16th International Conference on Machine Learning. (1999) 97-105
-
(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
-
13
-
-
14344258878
-
Decision trees with minimal costs
-
Ling, C., Yang, Q., Wang, J., Zhang, S.: Decision trees with minimal costs. In: Proceedings of the 21st International Conference on Machine Learning. (2004)
-
(2004)
Proceedings of the 21st International Conference on Machine Learning
-
-
Ling, C.1
Yang, Q.2
Wang, J.3
Zhang, S.4
-
15
-
-
84957107950
-
Pruning decision trees with misclassification costs
-
Bradford, J., Kunz, C., Kohavi, R., Brunk, C., Brodley, C.: Pruning decision trees with misclassification costs. In: Proceedings of the European Conference on Machine Learning. (1998) 131-136
-
(1998)
Proceedings of the European Conference on Machine Learning
, pp. 131-136
-
-
Bradford, J.1
Kunz, C.2
Kohavi, R.3
Brunk, C.4
Brodley, C.5
-
17
-
-
33749562833
-
Maximum profit mining and its application in software development
-
Ling, C., Sheng, V., Bruckhaus, T., Madhavji, N.: Maximum profit mining and its application in software development. In: Proceedings of The 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'06) (Industrial Applications Track). (2006) 929-934
-
(2006)
Proceedings of The 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'06) (Industrial Applications Track)
, pp. 929-934
-
-
Ling, C.1
Sheng, V.2
Bruckhaus, T.3
Madhavji, N.4
-
18
-
-
0027580356
-
Very simple classification rules perform well on most commonly used datasets
-
Holte, R.: Very simple classification rules perform well on most commonly used datasets. Machine Learning 11 (1993) 63-91
-
(1993)
Machine Learning
, vol.11
, pp. 63-91
-
-
Holte, R.1
-
19
-
-
85013576689
-
Theory and applications of agnostic pac-learning with small decision trees
-
Morgan Kaufmann
-
Auer, P., Holte, R., Maass, W.: Theory and applications of agnostic pac-learning with small decision trees. In: Proceedings of the 12th International Conference on Machine Learning, Morgan Kaufmann (1995) 21-29
-
(1995)
Proceedings of the 12th International Conference on Machine Learning
, pp. 21-29
-
-
Auer, P.1
Holte, R.2
Maass, W.3
-
22
-
-
0003408496
-
-
Department of Information and Computer Science, University of California
-
Blake, C., Keogh, E., Merz, C.: Uci repository of machine learning databases. Department of Information and Computer Science, University of California (1998) http://www.ics.uci.edu/~mlearn/MLRepository.html.
-
(1998)
Uci repository of machine learning databases
-
-
Blake, C.1
Keogh, E.2
Merz, C.3
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