-
1
-
-
36948999941
-
-
University of California, Irvine, School of Information and Computer Sciences
-
Asuncion, A., Newman, D.: UCI Machine Learning Repository. University of California, Irvine, School of Information and Computer Sciences (2007)
-
(2007)
UCI Machine Learning Repository
-
-
Asuncion, A.1
Newman, D.2
-
3
-
-
77953527363
-
MOA: Massive Online Analysis
-
Bifet, A., Holmes, G., Kirkby, R., Pfahringer, B.: MOA: Massive Online Analysis. Journal of Machine Learning Research 11, 1601-1604 (2010)
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 1601-1604
-
-
Bifet, A.1
Holmes, G.2
Kirkby, R.3
Pfahringer, B.4
-
4
-
-
79551508606
-
Mining concept-drifting data streams containing labeled and unlabeled instances
-
García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds.) IEA/AIE 2010. Springer, Heidelberg
-
Borchani, H., Larrañaga, P., Bielza, C.: Mining concept-drifting data streams containing labeled and unlabeled instances. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds.) IEA/AIE 2010. LNCS, vol. 6096, pp. 531-540. Springer, Heidelberg (2010)
-
(2010)
LNCS
, vol.6096
, pp. 531-540
-
-
Borchani, H.1
Larrañaga, P.2
Bielza, C.3
-
5
-
-
33745738567
-
Worst-case analysis of selective sampling for linear classification
-
Cesa-Bianchi, N., Gentile, C., Zaniboni, L.: Worst-case analysis of selective sampling for linear classification. J. Mach. Learn. Res. 7, 1205-1230 (2006)
-
(2006)
J. Mach. Learn. Res.
, vol.7
, pp. 1205-1230
-
-
Cesa-Bianchi, N.1
Gentile, C.2
Zaniboni, L.3
-
6
-
-
0028424239
-
Improving generalization with active learning
-
Cohn, D., Atlas, l., Ladner, R.: Improving generalization with active learning. Machine Learning 15, 201-221 (1994)
-
(1994)
Machine Learning
, vol.15
, pp. 201-221
-
-
Cohn, D.1
Atlas, L.2
Ladner, R.3
-
7
-
-
2942536418
-
Active mining of data streams
-
Fan, W., Huang, Y., Wang, H., Yu, P.: Active mining of data streams. In: SDM 2004, pp. 457-461 (2004)
-
(2004)
SDM 2004
, pp. 457-461
-
-
Fan, W.1
Huang, Y.2
Wang, H.3
Yu, P.4
-
8
-
-
33749618778
-
Learning with drift detection
-
Bazzan, A.L.C., Labidi, S. (eds.) SBIA 2004. Springer, Heidelberg
-
Gama, J., Medas, P., Castillo, G., Rodrigues, P.: Learning with drift detection. In: Bazzan, A.L.C., Labidi, S. (eds.) SBIA 2004. LNCS (LNAI), vol. 3171, pp. 286-295. Springer, Heidelberg (2004)
-
(2004)
LNCS (LNAI)
, vol.3171
, pp. 286-295
-
-
Gama, J.1
Medas, P.2
Castillo, G.3
Rodrigues, P.4
-
9
-
-
0032139819
-
Extracting hidden context
-
Harries, M., Sammut, C., Horn, K.: Extracting hidden context. Machine Learning 32(2), 101-126 (1998)
-
(1998)
Machine Learning
, vol.32
, Issue.2
, pp. 101-126
-
-
Harries, M.1
Sammut, C.2
Horn, K.3
-
10
-
-
0030707345
-
Some label efficient learning results
-
Helmbold, D., Panizza, S.: Some label efficient learning results. In: COLT 1997, pp. 218-230 (1997)
-
(1997)
COLT 1997
, pp. 218-230
-
-
Helmbold, D.1
Panizza, S.2
-
11
-
-
41649099657
-
An active learning system for mining time-changing data streams
-
Huang, S., Dong, Y.: An active learning system for mining time-changing data streams. Intelligent Data Analysis 11, 401-419 (2007)
-
(2007)
Intelligent Data Analysis
, vol.11
, pp. 401-419
-
-
Huang, S.1
Dong, Y.2
-
12
-
-
79960103750
-
Learning model trees from evolving data streams
-
Ikonomovska, E., Gama, J., Dzeroski, S.: Learning model trees from evolving data streams. Data Mining and Knowledge Discovery 23(1), 128-168 (2010)
-
(2010)
Data Mining and Knowledge Discovery
, vol.23
, Issue.1
, pp. 128-168
-
-
Ikonomovska, E.1
Gama, J.2
Dzeroski, S.3
-
14
-
-
85013879626
-
A sequential algorithm for training text classifiers
-
Lewis, D., Gale, W.: A sequential algorithm for training text classifiers. In: ACM SIGIR, pp. 3-12 (1994)
-
(1994)
ACM SIGIR
, pp. 3-12
-
-
Lewis, D.1
Gale, W.2
-
15
-
-
84876811202
-
Rcv1: A new benchmark collection for text categorization research
-
Lewis, D., Yang, Y., Rose, T., Li, F.: Rcv1: A new benchmark collection for text categorization research. J. Mach. Learn. Res. 5, 361-397 (2004)
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 361-397
-
-
Lewis, D.1
Yang, Y.2
Rose, T.3
Li, F.4
-
16
-
-
77957885062
-
Handling concept drift in a text data stream constrained by high labelling cost
-
AAAI Press, Menlo Park
-
Lindstrom, P., Delany, S.J., MacNamee, B.: Handling concept drift in a text data stream constrained by high labelling cost. In: FLAIRS. AAAI Press, Menlo Park (2010)
-
(2010)
FLAIRS
-
-
Lindstrom, P.1
Delany, S.J.2
MacNamee, B.3
-
17
-
-
79956336459
-
Classification and novel class detection in data streams with active mining
-
Zaki, M.J., Yu, J.X., Ravindran, B., Pudi, V. (eds.) PAKDD 2010. Springer, Heidelberg
-
Masud, M., Gao, J., Khan, L., Han, J., Thuraisingham, B.: Classification and novel class detection in data streams with active mining. In: Zaki, M.J., Yu, J.X., Ravindran, B., Pudi, V. (eds.) PAKDD 2010. LNCS, vol. 6119, pp. 311-324. Springer, Heidelberg (2010)
-
(2010)
LNCS
, vol.6119
, pp. 311-324
-
-
Masud, M.1
Gao, J.2
Khan, L.3
Han, J.4
Thuraisingham, B.5
-
19
-
-
84904806792
-
Online active learning methods for fast label-efficient spam filtering
-
Sculley, D.: Online active learning methods for fast label-efficient spam filtering. In: CEAS 2007 (2007)
-
(2007)
CEAS 2007
-
-
Sculley, D.1
-
20
-
-
68949137209
-
Active learning literature survey
-
University of Wisconsin-Madison
-
Settles, B.: Active learning literature survey. Computer Sciences Technical Report 1648, University of Wisconsin-Madison (2009)
-
(2009)
Computer Sciences Technical Report 1648
-
-
Settles, B.1
-
21
-
-
14644423267
-
Relevant data expansion for learning concept drift from sparsely labeled data
-
Widyantoro, D., Yen, J.: Relevant data expansion for learning concept drift from sparsely labeled data. IEEE Tr. on Know. and Data Eng. 17, 401-412 (2005)
-
(2005)
IEEE Tr. on Know. and Data Eng.
, vol.17
, pp. 401-412
-
-
Widyantoro, D.1
Yen, J.2
-
22
-
-
70349871421
-
Lacking labels in the stream: Classifying evolving stream data with few labels
-
Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds.) ISMIS 2009. Springer, Heidelberg
-
Woolam, C., Masud, M., Khan, L.: Lacking labels in the stream: Classifying evolving stream data with few labels. In: Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds.) ISMIS 2009. LNCS, vol. 5722, pp. 552-562. Springer, Heidelberg (2009)
-
(2009)
LNCS
, vol.5722
, pp. 552-562
-
-
Woolam, C.1
Masud, M.2
Khan, L.3
-
23
-
-
77951189369
-
Mining data streams with labeled and unlabeled training examples
-
Zhang, P., Zhu, X., Guo, L.: Mining data streams with labeled and unlabeled training examples. In: ICDM 2009, pp. 627-636 (2009)
-
(2009)
ICDM 2009
, pp. 627-636
-
-
Zhang, P.1
Zhu, X.2
Guo, L.3
-
24
-
-
49749138225
-
Active learning from data streams
-
Zhu, X., Zhang, P., Lin, X., Shi, Y.: Active learning from data streams. In: ICDM 2007, pp. 757-762 (2007)
-
(2007)
ICDM 2007
, pp. 757-762
-
-
Zhu, X.1
Zhang, P.2
Lin, X.3
Shi, Y.4
|