-
1
-
-
0000492326
-
Learning from noisy examples
-
D. Angluin and P. Laird, "Learning from Noisy Examples," Machine Learning, vol. 2, no. 4, pp. 343-370, 1988.
-
(1988)
Machine Learning
, vol.2
, Issue.4
, pp. 343-370
-
-
Angluin, D.1
Laird, P.2
-
2
-
-
0242456809
-
Exploiting unlabeled data in ensemble methods
-
K.P. Bennett, A. Demiriz, and R. Maclin, "Exploiting Unlabeled Data in Ensemble Methods," Proc. Eighth ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, pp. 289-296, 2002.
-
(2002)
Proc. Eighth ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining
, pp. 289-296
-
-
Bennett, K.P.1
Demiriz, A.2
Maclin, R.3
-
3
-
-
0003408496
-
-
Dept. of Information and Computer Science, Univ. of California, Irvine
-
C. Blake, E. Keogh, and C.J. Merz, "UCI Repository of Machine Learning Databases" http://www.ics.uci.edu/~mlearn/MLRepository.html, Dept. of Information and Computer Science, Univ. of California, Irvine, 1998.
-
(1998)
UCI Repository of Machine Learning Databases
-
-
Blake, C.1
Keogh, E.2
Merz, C.J.3
-
4
-
-
0010805362
-
Learning from labeled and unlabeled data using graph mincuts
-
A. Blum and S. Chawla, "Learning from Labeled and Unlabeled Data Using Graph Mincuts," Proc. 18th Int'l Conf. Machine Learning, pp. 19-26, 2001.
-
(2001)
Proc. 18th Int'l Conf. Machine Learning
, pp. 19-26
-
-
Blum, A.1
Chawla, S.2
-
6
-
-
0030211964
-
Bagging predictors
-
L. Breiman, "Bagging Predictors," Machine Learning, vol. 24, no. 2, pp. 123-140, 1996.
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
7
-
-
0028424239
-
Improved generalization with active learning
-
D. Cohn, L. Atlas, and R. Ladner, "Improved Generalization with Active Learning," Machine Learning, vol. 15, no. 2, pp. 201-221, 1994.
-
(1994)
Machine Learning
, vol.15
, Issue.2
, pp. 201-221
-
-
Cohn, D.1
Atlas, L.2
Ladner, R.3
-
9
-
-
84899006611
-
Semi-supervised marginboost
-
T.G. Dietterich, S. Becker, and Z. Ghahramani, eds., Cambridge, Mass.: MIT Press
-
F. D'Alché-Buc, Y. Grandvalet, and C. Ambroise, "Semi-Supervised Marginboost," Advances in Neural Information Processing Systems 14, T.G. Dietterich, S. Becker, and Z. Ghahramani, eds., pp. 553-560, Cambridge, Mass.: MIT Press, 2002.
-
(2002)
Advances in Neural Information Processing Systems
, vol.14
, pp. 553-560
-
-
D'Alché-Buc, F.1
Grandvalet, Y.2
Ambroise, C.3
-
10
-
-
84899008485
-
PAC generalization bounds for co-training
-
T.G. Dietterich, S. Becker, and Z. Ghahramani, eds., Cambridge, Mass.: MIT Press
-
S. Dasgupta, M. Littman, and D. McAllester, "PAC Generalization Bounds for Co-Training," Advances in Neural Information Processing Systems 14, T.G. Dietterich, S. Becker, and Z. Ghahramani, eds., pp. 375-382, Cambridge, Mass.: MIT Press, 2002.
-
(2002)
Advances in Neural Information Processing Systems
, vol.14
, pp. 375-382
-
-
Dasgupta, S.1
Littman, M.2
McAllester, D.3
-
11
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
A.P. Dempster, N.M. Laird, and D.B. Rubin, "Maximum Likelihood from Incomplete Data via the EM Algorithm," J. Royal Statistical Soc., Series B, vol. 39, no. 1, pp. 1-38, 1977.
-
(1977)
J. Royal Statistical Soc., Series B
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
12
-
-
80053403826
-
Ensemble methods in machine learning
-
J. Kittler and F. Roli, eds., Berlin: Springer
-
T.G. Dietterich, "Ensemble Methods in Machine Learning," Lecture Notes in Computer Science 1867, J. Kittler and F. Roli, eds., pp. 1-15, Berlin: Springer, 2000.
-
(2000)
Lecture Notes in Computer Science 1867
, pp. 1-15
-
-
Dietterich, T.G.1
-
15
-
-
26844464912
-
Corrected co-training for statistical parsers
-
R. Hwa, M. Osborne, A. Sarkar, and M. Steedman, "Corrected Co-Training for Statistical Parsers," Working Notes of the ICML'03 Workshop Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining, 2003.
-
(2003)
Working Notes of the ICML'03 Workshop Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining
-
-
Hwa, R.1
Osborne, M.2
Sarkar, A.3
Steedman, M.4
-
16
-
-
0001938951
-
Transductive inference for text classification using support vector machines
-
T. Joachims, "Transductive Inference for Text Classification Using Support Vector Machines," Proc. 16th Int'l Conf. Machine Learning, pp. 200-209, 1999.
-
(1999)
Proc. 16th Int'l Conf. Machine Learning
, pp. 200-209
-
-
Joachims, T.1
-
17
-
-
84898980291
-
A mixture of experts classifier with learning based on both labelled and unlabelled data
-
M. Mozer, M.I. Jordan, and T. Petsche, eds., Cambridge, Mass.: MIT Press
-
D.J. Miller and H.S. Uyar, "A Mixture of Experts Classifier with Learning Based on Both Labelled and Unlabelled Data," Advances in Neural Information Processing Systems 9, M. Mozer, M.I. Jordan, and T. Petsche, eds., pp. 571-577, Cambridge, Mass.: MIT Press, 1997.
-
(1997)
Advances in Neural Information Processing Systems
, vol.9
, pp. 571-577
-
-
Miller, D.J.1
Uyar, H.S.2
-
18
-
-
0347762679
-
Identifying and handling mislabelled instances
-
F. Muhlenbach, S. Lallich, and D.A. Zighed, "Identifying and Handling Mislabelled Instances," J. Intelligent Information Systems, vol. 22, no. 1, pp. 89-109, 2004.
-
(2004)
J. Intelligent Information Systems
, vol.22
, Issue.1
, pp. 89-109
-
-
Muhlenbach, F.1
Lallich, S.2
Zighed, D.A.3
-
20
-
-
0033886806
-
Text classification from labeled and unlabeled documents using em
-
K. Nigam, A.K. McCallum, S. Thrun, and T. Mitchell, "Text Classification from Labeled and Unlabeled Documents Using EM," Machine Learning, vol. 39, nos. 2-3, pp. 103-134, 2000.
-
(2000)
Machine Learning
, vol.39
, Issue.2-3
, pp. 103-134
-
-
Nigam, K.1
McCallum, A.K.2
Thrun, S.3
Mitchell, T.4
-
23
-
-
0032596539
-
Learning dictionaries for information extraction by multi-level bootstrapping
-
E. Riloff and R. Jones, "Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping," Proc. 16th Nat'l Conf. Artificial Intelligence, pp. 474-479, 1999.
-
(1999)
Proc. 16th Nat'l Conf. Artificial Intelligence
, pp. 474-479
-
-
Riloff, E.1
Jones, R.2
-
25
-
-
0026981853
-
Query by committee
-
H. Seung, M. Opper, and H. Sompolinsky, "Query by Committee," Proc. Fifth Ann. ACM Conf. Computational Learning Theory, pp. 287-294, 1992.
-
(1992)
Proc. Fifth Ann. ACM Conf. Computational Learning Theory
, pp. 287-294
-
-
Seung, H.1
Opper, M.2
Sompolinsky, H.3
-
26
-
-
0028499630
-
The effect of unlabeled samples in reducing the small sample size problem and mitigating the hughes phenomenon
-
B. Shahshahani and D. Landgrebe, "The Effect of Unlabeled Samples in Reducing the Small Sample Size Problem and Mitigating the Hughes Phenomenon," IEEE Trans. Geoscience and Remote Sensing, vol. 32, no. 5, pp. 1087-1095, 1994.
-
(1994)
IEEE Trans. Geoscience and Remote Sensing
, vol.32
, Issue.5
, pp. 1087-1095
-
-
Shahshahani, B.1
Landgrebe, D.2
-
27
-
-
85118305024
-
Bootstrapping statistical parsers from small data sets
-
M. Steedman, M. Osborne, A. Sarkar, S. Clark, R. Hwa, J. Hockenmaier, P. Ruhlen, S. Baker, and J. Crim, "Bootstrapping Statistical Parsers from Small Data Sets," Proc. 11th Conf. European Chapter of the Assoc. Computational Linguistics, pp. 331-338, 2003.
-
(2003)
Proc. 11th Conf. European Chapter of the Assoc. Computational Linguistics
, pp. 331-338
-
-
Steedman, M.1
Osborne, M.2
Sarkar, A.3
Clark, S.4
Hwa, R.5
Hockenmaier, J.6
Ruhlen, P.7
Baker, S.8
Crim, J.9
|