-
1
-
-
0030211964
-
Bagging predictors
-
[459]
-
Breiman, L. (1996), "Bagging Predictors," Machine Learning, 24 (2), 123-140. [459]
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
2
-
-
33749589522
-
Mining noisy data streams via a discriminative model
-
DS 2004, Padova, Italy, Berlin/Heidelberg: Springer [460]
-
Chu, F., Wang, Y, and Zaniolo, C. (2004), "Mining Noisy Data Streams via a Discriminative Model," in Proceedings of the 7th International Conference, DS 2004, Padova, Italy, Berlin/Heidelberg: Springer, pp. 47-59. [460]
-
(2004)
Proceedings of the 7th International Conference
, pp. 47-59
-
-
Chu, F.1
Wang, Y.2
Zaniolo, C.3
-
3
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
[459]
-
Freund, Y., and Schapire, R. E. (1997), "A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting," Journal of Computer and System Science, 55 (1), 119-139. [459]
-
(1997)
Journal of Computer and System Science
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
4
-
-
33749618778
-
Learning with drift detection
-
Sao Luis, Maranhao, Brazil 2004, Berlin/Heidelberg: Springer [470]
-
Gama, J., Medas, P., Castillo, G., and Rodrigues, P. (2004), "Learning With Drift Detection," in Proceedings of the 17th Brazilian Symposium on Artificial Intelligence, Sao Luis, Maranhao, Brazil, 2004, Berlin/Heidelberg: Springer, pp. 286-295. [470]
-
(2004)
Proceedings of the 17th Brazilian Symposium on Artificial Intelligence
, pp. 286-295
-
-
Gama, J.1
Medas, P.2
Castillo, G.3
Rodrigues, P.4
-
5
-
-
33645579736
-
Real-time density and mode estimation with application to time-dynamic mode tracking
-
[458]
-
Hall, P., Müller, H.-G., and Wu, P.-S. (2006), "Real-Time Density and Mode Estimation With Application to Time-Dynamic Mode Tracking," Journal of Computational and Graphical Statistics, 15 (1), 82-100. [458]
-
(2006)
Journal of Computational and Graphical Statistics
, vol.15
, Issue.1
, pp. 82-100
-
-
Hall, P.1
Müller, H.-G.2
Wu, P.-S.3
-
6
-
-
33749394792
-
-
technical report, School of Computer Science and Engineering, The University of South Wales. [470]
-
Harries, M. (1999), "Splice-2 Comparative Evaluation: Electricity Pricing," technical report, School of Computer Science and Engineering, The University of South Wales. [470]
-
(1999)
Splice-2 Comparative Evaluation: Electricity Pricing
-
-
Harries, M.1
-
7
-
-
0035789299
-
Mining time-changing data streams
-
San Francisco, CA: ACM Press [467]
-
Hulten, G., Spencer, L., and Domingos, P. (2001), "Mining Time-Changing Data Streams," in Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA: ACM Press, pp. 97-106. [467]
-
(2001)
Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 97-106
-
-
Hulten, G.1
Spencer, L.2
Domingos, P.3
-
8
-
-
0029372769
-
Methods for combining experts' probability assessments
-
[462]
-
-Jacobs, R. A. (1995), "Methods for Combining Experts' Probability Assessments," Neural Computation, 7, 867-888. [462]
-
(1995)
Neural Computation
, vol.7
, pp. 867-888
-
-
Jacobs, R.A.1
-
9
-
-
0003307180
-
Estimating the generalization performance of a svm efficiently
-
ed. P. Langley, San Francisko and Stanford: Kaufmann Publishers [459]
-
Joachims, T. (2000), "Estimating the Generalization Performance of a SVM Efficiently," in Proceedings of ICML-00, 17th International Conference on Machine Learning, ed. P. Langley, San Francisko and Stanford: Kaufmann Publishers, pp. 431-438. Available at citeseer.ist.psu.edu/article/ joachims99estimating.html. [459]
-
(2000)
Proceedings of ICML-00, 17th International Conference on Machine Learning
, pp. 431-438
-
-
Joachims, T.1
-
10
-
-
64249152738
-
A gradient-based optimization algorithm for lasso
-
[463,464]
-
-Kim, J., Kim, Y., and Kim, Y. (2008), "A Gradient-Based Optimization Algorithm for Lasso," Journal of Computational and Graphical Statistics, 17,994-1009. [463,464]
-
(2008)
Journal of Computational and Graphical Statistics
, vol.17
, pp. 994-1009
-
-
Kim, J.1
Kim, Y.2
Kim, Y.3
-
11
-
-
84883713774
-
Learning drifting concepts: Example selection vs. example weighting
-
[459]
-
Klinkenberg, R. (2004), "Learning Drifting Concepts: Example Selection vs. Example Weighting," Intelligent Data Analysis, 8 (3), 281-300. [459]
-
(2004)
Intelligent Data Analysis
, vol.8
, Issue.3
, pp. 281-300
-
-
Klinkenberg, R.1
-
12
-
-
0141804082
-
Detecting concept drift with support vector machines
-
San Francisco, CA, USA 2000, San Francisco: Morgan Kaufmann [459]
-
Klinkenberg, R., and Joachims, T. (2000), "Detecting Concept Drift With Support Vector Machines," in Proceedings of the 17th International Conference on Machine Learning, San Francisco, CA, USA, 2000, San Francisco: Morgan Kaufmann, pp. 487-494. [459]
-
(2000)
Proceedings of the 17th International Conference on Machine Learning
, pp. 487-494
-
-
Klinkenberg, R.1
Joachims, T.2
-
13
-
-
31844453033
-
Using additive expert ensembles to cope with concept drift
-
New York: ACM Press [461]
-
Kolter, J. Z., and Maloof, M. A. (2005), "Using Additive Expert Ensembles to Cope With Concept Drift," in Proceedings of the Twenty-Second International Conference on Machine Learning, New York: ACM Press, pp. 449-456. [461]
-
(2005)
Proceedings of the Twenty-Second International Conference on Machine Learning
, pp. 449-456
-
-
Kolter, J.Z.1
Maloof, M.A.2
-
14
-
-
77954828159
-
Experiments with two approaches for tracking drifting concepts
-
[470]
-
Koychev, I. (2004), "Experiments With Two Approaches for Tracking Drifting Concepts," Serdica Journal of Computing, 1, 27-44. [470]
-
(2004)
Serdica Journal of Computing
, vol.1
, pp. 27-44
-
-
Koychev, I.1
-
16
-
-
0010012318
-
Incremental learning from noisy data
-
[470]
-
Schlimmer, J. C, and Granger, R. H. (1986), "Incremental Learning From Noisy Data," Machine Learning, 1 (3), 317-354. [470]
-
(1986)
Machine Learning
, vol.1
, Issue.3
, pp. 317-354
-
-
Schlimmer, J.C.1
Granger, R.H.2
-
17
-
-
0035788947
-
A streaming ensemble algorithm (sea) for large-scale classification
-
San Francisco, CA, USA 2001, New York: ACM Press [459,469]
-
Street, W N., and Kim, Y. S. (2001), "A Streaming Ensemble Algorithm (SEA) for Large-Scale Classification," in Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, 2001, New York: ACM Press, pp. 377-382. [459,469]
-
(2001)
Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 377-382
-
-
Street, W.N.1
Kim, Y.S.2
-
18
-
-
35348907876
-
Dynamic integration of classifiers for handling concept drift
-
[467]
-
Tsymbal, A., Pechenizkiy, M., Cunningham, P., and Puuronen, S. (2008), "Dynamic Integration of Classifiers for Handling Concept Drift," Information Fusion, 9 (1), 56-68. [467]
-
(2008)
Information Fusion
, vol.9
, Issue.1
, pp. 56-68
-
-
Tsymbal, A.1
Pechenizkiy, M.2
Cunningham, P.3
Puuronen, S.4
-
19
-
-
77952415079
-
Mining concept drifting data streams using ensemble classifiers
-
Washington, D.C. 2003, New York: ACM Press [460,467]
-
Wang, H., Fan, W., Yu, P. S., and Han, J. (2003), "Mining Concept Drifting Data Streams Using Ensemble Classifiers," in Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, D.C., 2003, New York: ACM Press, pp. 226-235. [460,467]
-
(2003)
Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 226-235
-
-
Wang, H.1
Fan, W.2
Yu, P.S.3
Han, J.4
-
20
-
-
0742288964
-
On some techniques for streaming data: A case study of internet packet headers
-
[458]
-
Wegman, E. J., and Marchette, D. J. (2003), "On Some Techniques for Streaming Data: A Case Study of Internet Packet Headers," Journal of Computational and Graphical Statistics, 12 (4), 893-914. [458]
-
(2003)
Journal of Computational and Graphical Statistics
, vol.12
, Issue.4
, pp. 893-914
-
-
Wegman, E.J.1
Marchette, D.J.2
-
21
-
-
0030126609
-
Learning in the presence of concept drift and hidden contexts
-
[459]
-
Widmer, G., and Kubat, M. (1996), "Learning in the Presence of Concept Drift and Hidden Contexts," Machine Learning, 23 (2), 69-101. [459]
-
(1996)
Machine Learning
, vol.23
, Issue.2
, pp. 69-101
-
-
Widmer, G.1
Kubat, M.2
-
22
-
-
0026692226
-
Stacked generalization
-
[459,460]
-
Wolpert, D. H. (1992), "Stacked Generalization," Neural Networks, 5 (2), 241-259. [459,460]
-
(1992)
Neural Networks
, vol.5
, Issue.2
, pp. 241-259
-
-
Wolpert, D.H.1
-
23
-
-
77956702520
-
-
Technical Report CS-05-03, Computer Science, University of Vermont. [467]
-
Yang, Y, Wu, X., and Zhu, X. (2005), "Proactive-Reactive Prediction for Data Streams," Technical Report CS-05-03, Computer Science, University of Vermont. [467]
-
(2005)
Proactive-Reactive Prediction for Data Streams
-
-
Yang, Y.1
Wu, X.2
Zhu, X.3
|