-
1
-
-
29344434946
-
Bootstrapping
-
S. Abney. Bootstrapping. In ACL '02, pages 360-367, 2002.
-
(2002)
ACL '02
, pp. 360-367
-
-
Abney, S.1
-
2
-
-
26244461684
-
Clustering with bregman divergences
-
A. Banerjee, S. Merugu, I. S. Dhillon, and J. Ghosh. Clustering with bregman divergences. J. Mach. Learn. Res., 6:1705-1749, 2005.
-
(2005)
J. Mach. Learn. Res
, vol.6
, pp. 1705-1749
-
-
Banerjee, A.1
Merugu, S.2
Dhillon, I.S.3
Ghosh, J.4
-
3
-
-
12244300524
-
-
Seattle, WA, Aug
-
S. Basu, M. Bilenko, and R. J. Mooney. A probabilistic framework for semi-supervised clustering, pages 59-68, Seattle, WA, Aug. 2004.
-
(2004)
A probabilistic framework for semi-supervised clustering
, pp. 59-68
-
-
Basu, S.1
Bilenko, M.2
Mooney, R.J.3
-
4
-
-
52649153509
-
-
P. Berkhin. Survey of clustering data mining techniques. Technical report, Accrue Software, San Jose, CA, 2002.
-
P. Berkhin. Survey of clustering data mining techniques. Technical report, Accrue Software, San Jose, CA, 2002.
-
-
-
-
6
-
-
19544371182
-
Multi-view clustering
-
S. Bickel and T. Scheffer. Multi-view clustering. In ICDM '04, pages 19-26, 2004.
-
(2004)
ICDM '04
, pp. 19-26
-
-
Bickel, S.1
Scheffer, T.2
-
7
-
-
0031620208
-
Combining labeled and unlabeled data with co-training
-
A. Blum and T. Mitchell. Combining labeled and unlabeled data with co-training. In COLT' 98, pages 92-100, 1998.
-
(1998)
COLT
, vol.98
, pp. 92-100
-
-
Blum, A.1
Mitchell, T.2
-
8
-
-
19544377151
-
Co-em support vector learning
-
U. Brefeld and T. Scheffer. Co-em support vector learning. In ICML '04, page 16, 2004.
-
(2004)
ICML '04
, pp. 16
-
-
Brefeld, U.1
Scheffer, T.2
-
10
-
-
36849005505
-
Evolutionary spectral clustering by incorporating temporal smoothness
-
Y. Chi, X. Song, D. Zhou, K. Hino, and B. L. Tseng. Evolutionary spectral clustering by incorporating temporal smoothness. In KDD '07, pages 153-162, 2007.
-
(2007)
KDD '07
, pp. 153-162
-
-
Chi, Y.1
Song, X.2
Zhou, D.3
Hino, K.4
Tseng, B.L.5
-
13
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
D.D.Lee and H.S.Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401:788-791, 1999.
-
(1999)
Nature
, vol.401
, pp. 788-791
-
-
Lee, D.D.1
Seung, H.S.2
-
15
-
-
14344258244
-
Solving cluster ensemble problems by bipartite graph partitioning
-
X. Z. Fern and C. E. Brodley. Solving cluster ensemble problems by bipartite graph partitioning. In ICML '04.
-
ICML '04
-
-
Fern, X.Z.1
Brodley, C.E.2
-
16
-
-
32344447271
-
Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering
-
B. Gao, T.-Y. Liu, X. Zheng, Q.-S. Cheng, and W.-Y. Ma. Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering. In KDD '05, pages 41-50, 2005.
-
(2005)
KDD '05
, pp. 41-50
-
-
Gao, B.1
Liu, T.-Y.2
Zheng, X.3
Cheng, Q.-S.4
Ma, W.-Y.5
-
17
-
-
18744408629
-
Combining labeled and unlabeled data for text classification with a large number of categories
-
R. Ghani. Combining labeled and unlabeled data for text classification with a large number of categories. In ICDM '01, pages 597-598, 2001.
-
(2001)
ICDM '01
, pp. 597-598
-
-
Ghani, R.1
-
18
-
-
21244496209
-
Metaclustering of gene expression data and literature-based information
-
101-112
-
P. Glenisson, J. Mathys, and B. D. Moor. Metaclustering of gene expression data and literature-based information. SIGKDD Explor. Newsl., 5(2):101-112, 2003.
-
(2003)
SIGKDD Explor. Newsl
, vol.5
, Issue.2
-
-
Glenisson, P.1
Mathys, J.2
Moor, B.D.3
-
19
-
-
84893405732
-
Data clustering: A review
-
A. K. Jain, M. N. Murty, and P. J. Flynn. Data clustering: a review. ACM Computing Surveys, 31(3):264-323, 1999.
-
(1999)
ACM Computing Surveys
, vol.31
, Issue.3
, pp. 264-323
-
-
Jain, A.K.1
Murty, M.N.2
Flynn, P.J.3
-
20
-
-
24144485787
-
Unsupervised word sense disambiguation using bilingual comparable corpora
-
H. Kaji and Y. Morimoto. Unsupervised word sense disambiguation using bilingual comparable corpora. In Proceedings of the 19th COLIN, pages 1-7, 2002.
-
(2002)
Proceedings of the 19th COLIN
, pp. 1-7
-
-
Kaji, H.1
Morimoto, Y.2
-
21
-
-
0032131147
-
A fast and high quality multilevel scheme for partitioning irregular graphs
-
G. Karypis and V. Kumar. A fast and high quality multilevel scheme for partitioning irregular graphs. SIAM J. Sci. Comput, 20(1):359-392, 1998.
-
(1998)
SIAM J. Sci. Comput
, vol.20
, Issue.1
, pp. 359-392
-
-
Karypis, G.1
Kumar, V.2
-
22
-
-
0032645145
-
Learning to remove internet advertisements
-
N. Kushmerick. Learning to remove internet advertisements. In AGENTS '99, pages 175-181, 1999.
-
(1999)
AGENTS '99
, pp. 175-181
-
-
Kushmerick, N.1
-
23
-
-
85142688646
-
News weeder: Learning to filter netnews
-
K. Lang. News weeder: Learning to filter netnews. In ICML, 1995.
-
(1995)
ICML
-
-
Lang, K.1
-
24
-
-
84864036295
-
Efficient sparse coding algorithms
-
H. Lee, A. Battle, R. Raina, and A. Y. Ng. Efficient sparse coding algorithms. In NIPS'07, pages 801-808. 2007.
-
(2007)
NIPS'07
, pp. 801-808
-
-
Lee, H.1
Battle, A.2
Raina, R.3
Ng, A.Y.4
-
26
-
-
34548569516
-
Combining multiple clusterings by soft correspondence
-
B. Long, Z. M. Zhang, and P. S. Yu. Combining multiple clusterings by soft correspondence. In ICDM '05, pages 282-289, 2005.
-
(2005)
ICDM '05
, pp. 282-289
-
-
Long, B.1
Zhang, Z.M.2
Yu, P.S.3
-
27
-
-
85136905861
-
Analyzing the effectiveness and applicability of co-training
-
K. Nigam and R. Ghani. Analyzing the effectiveness and applicability of co-training. In CIKM '00, pages 86-93, 2000.
-
(2000)
CIKM '00
, pp. 86-93
-
-
Nigam, K.1
Ghani, R.2
-
28
-
-
0033886806
-
Text classification from labeled and unlabeled documents using EM
-
K. Nigam, A. K. McCallum, S. Thrun, and T. M. Mitchell. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2/3):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.M.4
-
30
-
-
1942452250
-
Adaptive overrelaxed bound optimization methods
-
R. Salakhutdinov and S. Roweis. Adaptive overrelaxed bound optimization methods. In ICML '03, 2003.
-
(2003)
ICML '03
-
-
Salakhutdinov, R.1
Roweis, S.2
-
31
-
-
0041995204
-
Cluster ensembles - a knowledge reuse framework for combining partitionings
-
A. Strehl and J. Ghosh. Cluster ensembles - a knowledge reuse framework for combining partitionings. In AAAI2002.
-
AAAI2002
-
-
Strehl, A.1
Ghosh, J.2
-
32
-
-
84880884400
-
Probabilistic classification and clustering in relational data
-
B. Taskar, E. Segal, and D. Koller. Probabilistic classification and clustering in relational data. In Proceeding of IJCAI-01, 2001.
-
(2001)
Proceeding of IJCAI-01
-
-
Taskar, B.1
Segal, E.2
Koller, D.3
-
34
-
-
0042377235
-
Constrained k-means clustering with background knowledge
-
K. Wagstaff, C. Cardie, S. Rogers, and S. Schrödl. Constrained k-means clustering with background knowledge. In ICML '01, pages 577-584, 2001.
-
(2001)
ICML '01
, pp. 577-584
-
-
Wagstaff, K.1
Cardie, C.2
Rogers, S.3
Schrödl, S.4
-
35
-
-
1542347775
-
Recom: Reinforcement clustering of multi-type interrelated data objects
-
J. Wang, H. Zeng, Z. Chen, H. Lu, L. Tao, and W.-Y. Ma. Recom: reinforcement clustering of multi-type interrelated data objects. In SIGIR '03, pages 274-281, 2003.
-
(2003)
SIGIR '03
, pp. 274-281
-
-
Wang, J.1
Zeng, H.2
Chen, Z.3
Lu, H.4
Tao, L.5
Ma, W.-Y.6
-
36
-
-
34547970997
-
Spectral clustering and transductive learning with multiple views
-
D. Zhou and C. J. C. Burges. Spectral clustering and transductive learning with multiple views. In ICML '07, pages 1159-1166, 2007.
-
(2007)
ICML '07
, pp. 1159-1166
-
-
Zhou, D.1
Burges, C.J.C.2
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