-
1
-
-
0021518106
-
A theory of the learnable
-
L. Valiant, "A theory of the learnable," Communications of the ACM, vol. 27, pp. 1134-1142, 1984.
-
(1984)
Communications of the ACM
, vol.27
, pp. 1134-1142
-
-
Valiant, L.1
-
2
-
-
0031211090
-
A decision-theoretic generalization of online learning and an application to boosting
-
Y. Freund and R. Shapire, "A decision-theoretic generalization of online learning and an application to boosting," Journal of Computer and System Sciences, vol. 55, pp. 119-139, 1997.
-
(1997)
Journal of Computer and System Sciences
, vol.55
, pp. 119-139
-
-
Freund, Y.1
Shapire, R.2
-
4
-
-
84897573740
-
A theory of learning from different domains
-
S. Ben-David, J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, and J. Wortman Vaughan, "A theory of learning from different domains," Machine Learning, vol. 79, pp. 151-175, 2010.
-
(2010)
Machine Learning
, vol.79
, pp. 151-175
-
-
Ben-David, S.1
Blitzer, J.2
Crammer, K.3
Kulesza, A.4
Pereira, F.5
Wortman Vaughan, J.6
-
5
-
-
80053634784
-
Incremental learning of concept drift in nonstationary environments
-
R. Elwell and R. Polikar, "Incremental learning of concept drift in nonstationary environments," IEEE Transactions on Neural Networks, vol. 22, no. 10, pp. 1517-1531, 2011.
-
(2011)
IEEE Transactions on Neural Networks
, vol.22
, Issue.10
, pp. 1517-1531
-
-
Elwell, R.1
Polikar, R.2
-
6
-
-
33645473383
-
-
tech. rep., London: Centre for Comparative Social Surveys, City University, 2003, 2005, 2007 and the /2003; 2004/2005; 2006/2007Central Coordinating Team
-
R. Jowell and the Central Coordinating Team, "European social survey 2002/2003; 2004/2005; 2006/2007," tech. rep., London: Centre for Comparative Social Surveys, City University, 2003, 2005, 2007.
-
(2002)
European Social Survey
-
-
Jowell, R.1
-
7
-
-
33746060148
-
A comparison of ensemble and case-base maintenance techniques for handling concept drift in spam filtering
-
S. Delany, P. Cunningham, and A. Tsymbal, "A comparison of ensemble and case-base maintenance techniques for handling concept drift in spam filtering," in International Conference on Artificial Intelligence, pp. 340-345, 2006.
-
(2006)
International Conference on Artificial Intelligence
, pp. 340-345
-
-
Delany, S.1
Cunningham, P.2
Tsymbal, A.3
-
8
-
-
0031140246
-
How to use expert advice
-
N. Cesa-Bianchi, Y. Freund, D. P. Helmbold, D. Haussler, R. Shapire, and M. K. Warmuth, "How to use expert advice," Journal of ACM, vol. 44, no. 3, pp. 427-485, 1997.
-
(1997)
Journal of ACM
, vol.44
, Issue.3
, pp. 427-485
-
-
Cesa-Bianchi, N.1
Freund, Y.2
Helmbold, D.P.3
Haussler, D.4
Shapire, R.5
Warmuth, M.K.6
-
9
-
-
84865066024
-
A transductive learning algorithm for nonstationary environments
-
G. Ditzler, G. Rosen, and R. Polikar, "A transductive learning algorithm for nonstationary environments," in International Joint Conference on Neural Networks, pp. 945-952, 2012.
-
(2012)
International Joint Conference on Neural Networks
, pp. 945-952
-
-
Ditzler, G.1
Rosen, G.2
Polikar, R.3
-
11
-
-
35348907876
-
Dynamic integration of classifiers for handling concept drift
-
A. Tsymbal, M. Pechenizkiy, P. Cunningham, and S. Puuronen, "Dynamic integration of classifiers for handling concept drift," Information Fusion, vol. 9, pp. 56-68, 2008.
-
(2008)
Information Fusion
, vol.9
, pp. 56-68
-
-
Tsymbal, A.1
Pechenizkiy, M.2
Cunningham, P.3
Puuronen, S.4
-
12
-
-
70350700681
-
New ensemble methods for evolving data streams
-
A. Bifet, G. Holmes, B. Pfahringer, R. Kirkby, and R. Gavalda, "New ensemble methods for evolving data streams," in Knowledge and Data Discovery, 2009.
-
(2009)
Knowledge and Data Discovery
-
-
Bifet, A.1
Holmes, G.2
Pfahringer, B.3
Kirkby, R.4
Gavalda, R.5
-
14
-
-
79952737601
-
Towards incremental learning of nonstationary imbalanced data stream: A multiple selectively recursive approach
-
S. Chen and H. He, "Towards incremental learning of nonstationary imbalanced data stream: a multiple selectively recursive approach," Evolving Systems, vol. 2, no. 1, pp. 35-50, 2011.
-
(2011)
Evolving Systems
, vol.2
, Issue.1
, pp. 35-50
-
-
Chen, S.1
He, H.2
-
15
-
-
70449102582
-
A general framework for mining concept-drifting data streams with skewed distributions
-
J. Gao, W. Fan, J. Han, and P. S. Yu, "A general framework for mining concept-drifting data streams with skewed distributions," in Proceedings of the 7th SIAM International Conference on Data Mining, pp. 203-208, 2007.
-
(2007)
Proceedings of the 7th SIAM International Conference on Data Mining
, pp. 203-208
-
-
Gao, J.1
Fan, W.2
Han, J.3
Yu, P.S.4
-
17
-
-
84857738059
-
DDD: A new ensemble approach for dealing with concept drift
-
L. L. Minku and X. Yao, "DDD: A new ensemble approach for dealing with concept drift," IEEE Transactions on Knowledge Discovery and Data Engineering, vol. 24, no. 4, pp. 619-633, 2012.
-
(2012)
IEEE Transactions on Knowledge Discovery and Data Engineering
, vol.24
, Issue.4
, pp. 619-633
-
-
Minku, L.L.1
Yao, X.2
-
19
-
-
85032751127
-
Mean squated error: Love it or leave it
-
Z. Wang and A. C. Bovik, "Mean squated error: Love it or leave it?," Signal Processing Magazine, vol. 26, no. 1, pp. 98-117, 2009.
-
(2009)
Signal Processing Magazine
, vol.26
, Issue.1
, pp. 98-117
-
-
Wang, Z.1
Bovik, A.C.2
-
20
-
-
70449436537
-
Incremental learning in nonstationary environments with controlled forgetting
-
R. Elwell and R. Polikar, "Incremental learning in nonstationary environments with controlled forgetting," in International Joint Conference on Neural Networks, pp. 771-778, 2009.
-
(2009)
International Joint Conference on Neural Networks
, pp. 771-778
-
-
Elwell, R.1
Polikar, R.2
-
21
-
-
70349854909
-
Combining time and space similarity for small size learning under concept drift
-
I. ? Zliobait?e, "Combining time and space similarity for small size learning under concept drift," in International Symposium on Methodologies for Intelligent Systems, vol. 5722, pp. 412-421, 2009.
-
(2009)
International Symposium on Methodologies for Intelligent Systems
, vol.5722
, pp. 412-421
-
-
Zliobaite, I.1
|