-
1
-
-
38149105933
-
Early drift detection method
-
M. Baena-García, J. Campo-Ávila, R. Fidalgo, A. Bifet, R. Gavaldà and R. Morales-Bueno, Early drift detection method. In Fourth International Workshop on Knowledge Discovery from Data Streams, pages 77-86, 2006.
-
(2006)
Fourth International Workshop on Knowledge Discovery from Data Streams
, pp. 77-86
-
-
Baena-García, M.1
Campo-Ávila, J.2
Fidalgo, R.3
Bifet, A.4
Gavaldà, R.5
Morales-Bueno, R.6
-
2
-
-
70449100647
-
Learning from time-changing data with adaptive windowing
-
Minneapolis, Minnesota, USA
-
A. Bifet and R. Gavaldà, Learning from time-changing data with adaptive windowing. In Proceedings of the Seventh SIAM International Conference on Data Mining, pages 443-448, Minneapolis, Minnesota, USA, 2007.
-
(2007)
Proceedings of the Seventh SIAM International Conference on Data Mining
, pp. 443-448
-
-
Bifet, A.1
Gavaldà, R.2
-
3
-
-
0003922190
-
-
John Wiley & Sons, NY, second edition
-
R.O. Duda, P.E. Hart and D.G. Stork, Pattern Classification. John Wiley & Sons, NY, second edition, 2001.
-
(2001)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
6
-
-
33749618778
-
Learning with drift detection
-
Advances in Artificial Intelligence, SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, of, Springer Verlag
-
J. Gama, P. Medas, G. Castillo and P. Rodrigues, Learning with drift detection. In Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, volume 3171 of Lecture Notes in Computer Science, pages 286-295. Springer Verlag, 2004.
-
(2004)
Lecture Notes in Computer Science
, vol.3171
, pp. 286-295
-
-
Gama, J.1
Medas, P.2
Castillo, G.3
Rodrigues, P.4
-
8
-
-
0141804082
-
Detecting concept drift with support vector machines
-
San Francisco, CA, USA, Morgan Kaufmann
-
R. Klinkenberg and T. Joachims, Detecting concept drift with support vector machines. In Proceedings of the Seventeenth International Conference on Machine Learning (ICML), pages 487-494, San Francisco, CA, USA, 2000. Morgan Kaufmann.
-
(2000)
Proceedings of the Seventeenth International Conference on Machine Learning (ICML)
, pp. 487-494
-
-
Klinkenberg, R.1
Joachims, T.2
-
10
-
-
84881407066
-
Tracking drifting concepts by time window optimisation
-
London, Springer
-
I. Koychev and R. Lothian, Tracking drifting concepts by time window optimisation. In Proceedings the 25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI-2005, pages 46-59, London, 2005. Springer.
-
(2005)
Proceedings the 25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI-2005
, pp. 46-59
-
-
Koychev, I.1
Lothian, R.2
-
11
-
-
77649160407
-
Incremental learning and concept drift: Editor's introduction
-
M. Kubat, J. Gama and P. Utgoff, Incremental learning and concept drift: Editor's introduction, Intelligent Data Analysis 8(3) (2004), 211-212.
-
(2004)
Intelligent Data Analysis
, vol.8
, Issue.3
, pp. 211-212
-
-
Kubat, M.1
Gama, J.2
Utgoff, P.3
-
12
-
-
58349105216
-
Adaptive learning rate for online linear discriminant classifiers
-
Orlando, Florida, USA
-
L.I. Kuncheva and C.O. Plumpton, Adaptive learning rate for online linear discriminant classifiers. In Proc. Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR, pages 510-519, Orlando, Florida, USA, 2008.
-
(2008)
Proc. Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR
, pp. 510-519
-
-
Kuncheva, L.I.1
Plumpton, C.O.2
-
13
-
-
1542748813
-
Using selective memory to track concept drift effectively
-
Salzburg, Austria, ACTA Press
-
M.M. Lazarescu and S. Venkatesh, Using selective memory to track concept drift effectively. In Intelligent Systems and Control, volume 388, Salzburg, Austria, 2003. ACTA Press.
-
(2003)
Intelligent Systems and Control
, vol.388
-
-
Lazarescu, M.M.1
Venkatesh, S.2
-
14
-
-
0026120032
-
Small sample size effects in statistical pattern recognition: Recommendations for practitioners
-
S.J. Raudys and A.K. Jain, Small sample size effects in statistical pattern recognition: Recommendations for practitioners, IEEE Transactions on Pattern Analysis and Machine Intelligence 13(3) (1991), 252-264.
-
(1991)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.13
, Issue.3
, pp. 252-264
-
-
Raudys, S.J.1
Jain, A.K.2
-
15
-
-
0019020917
-
On dimensionality, sample size, classification error and complexity of classification algorithm in pattern recognition
-
S.J. Raudys and V. Pikelis, On dimensionality, sample size, classification error and complexity of classification algorithm in pattern recognition, IEEE Transactions on Pattern Analysis Machine Intelligence 2 (1980), 242-252.
-
(1980)
IEEE Transactions on Pattern Analysis Machine Intelligence
, vol.2
, pp. 242-252
-
-
Raudys, S.J.1
Pikelis, V.2
-
17
-
-
0030126609
-
Learning in the presence of concept drift and hidden contexts
-
G. Widmer and M. Kubat, Learning in the presence of concept drift and hidden contexts, Machine Learning 23 (1996), 69-101.
-
(1996)
Machine Learning
, vol.23
, pp. 69-101
-
-
Widmer, G.1
Kubat, M.2
-
18
-
-
0012902924
-
Special Issue on Context Sensitivity and Concept Drift
-
G. Widmer and M. Kubat, Special Issue on Context Sensitivity and Concept Drift, Machine Learning 32, 1998.
-
(1998)
Machine Learning
, vol.32
-
-
Widmer, G.1
Kubat, M.2
|