-
1
-
-
79951511726
-
Temporal relation co-clustering on directional social network and author-topic evolution
-
Peng W, Li T (2011) Temporal relation co-clustering on directional social network and author-topic evolution. Knowl Inf Syst 26: 467-486.
-
(2011)
Knowl Inf Syst
, vol.26
, pp. 467-486
-
-
Peng, W.1
Li, T.2
-
2
-
-
79955066954
-
Exploring the wild birds imigration data for the disease spread study of H5N1: a clustering and association approach
-
Tang M, Zhou Y, Li J, Wang W et al (2011) Exploring the wild birds imigration data for the disease spread study of H5N1: a clustering and association approach. Knowl Inf Syst 27: 227-251.
-
(2011)
Knowl Inf Syst
, vol.27
, pp. 227-251
-
-
Tang, M.1
Zhou, Y.2
Li, J.3
Wang, W.4
-
3
-
-
80053313853
-
Measuring gene similarity by means of the classification distance
-
Baralis E, Bruno G, Fiori A (2011) Measuring gene similarity by means of the classification distance. Knowl Inf Syst 29: 81-101.
-
(2011)
Knowl Inf Syst
, vol.29
, pp. 81-101
-
-
Baralis, E.1
Bruno, G.2
Fiori, A.3
-
4
-
-
84856719776
-
Effective semi-supervised document clustering via active learning with instance-level constraints
-
Zhao W, He Q, Ma H, Shi Z (2011) Effective semi-supervised document clustering via active learning with instance-level constraints. Knowl Inf Syst 30: 569-587.
-
(2011)
Knowl Inf Syst
, vol.30
, pp. 569-587
-
-
Zhao, W.1
He, Q.2
Ma, H.3
Shi, Z.4
-
5
-
-
84860918368
-
Text document clustering using global term context vectors
-
doi: 10. 1007/s10115-011-0412-6
-
Kalogeratos A, Likas A (2011) Text document clustering using global term context vectors. Knowl Inf Syst. doi: 10. 1007/s10115-011-0412-6.
-
(2011)
Knowl Inf Syst
-
-
Kalogeratos, A.1
Likas, A.2
-
9
-
-
31844447616
-
Semi-supervised graph glustering: a kernel approach
-
Kulis B, Basu S, Dhillon I, Mooney R (2005) Semi-supervised graph glustering: a kernel approach. Proceedings of the 22th international conference on, machine learning, pp 457-464.
-
(2005)
Proceedings of the 22th international conference on, machine learning
, pp. 457-464
-
-
Kulis, B.1
Basu, S.2
Dhillon, I.3
Mooney, R.4
-
10
-
-
33144466184
-
A discriminative learning framework with pairwise constraints for video object classification
-
Yan R, Zhang J, Yang J, Hauptmann A (2006) A discriminative learning framework with pairwise constraints for video object classification. IEEE Trans Pattern Anal Mach Intell 28(4): 578-593.
-
(2006)
IEEE Trans Pattern Anal Mach Intell
, vol.28
, Issue.4
, pp. 578-593
-
-
Yan, R.1
Zhang, J.2
Yang, J.3
Hauptmann, A.4
-
11
-
-
79959506150
-
Composite kernels for semi-supervised clustering
-
Domeniconi C, Peng J, Yan B (2011) Composite kernels for semi-supervised clustering. Knowl Inf Syst 28: 99-116.
-
(2011)
Knowl Inf Syst
, vol.28
, pp. 99-116
-
-
Domeniconi, C.1
Peng, J.2
Yan, B.3
-
12
-
-
84864322831
-
Improving clustering by learning a bi-stochastic data similarity matrix
-
doi: 10. 1007/s10115-011-0433-1
-
Wang F, Li P, König AC, Wan M (2011) Improving clustering by learning a bi-stochastic data similarity matrix. Knowl Inf Syst. doi: 10. 1007/s10115-011-0433-1.
-
(2011)
Knowl Inf Syst
-
-
Wang, F.1
Li, P.2
König, A.C.3
Wan, M.4
-
13
-
-
84879571292
-
Distance metric learning with application to clustering with side-information
-
Xing EP, Ng AY, Jordan MI, Russell S (2003) Distance metric learning with application to clustering with side-information. Adv Neural Inf Process Syst 15: 521-528.
-
(2003)
Adv Neural Inf Process Syst
, vol.15
, pp. 521-528
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.I.3
Russell, S.4
-
14
-
-
1942517347
-
Learning distance functions using equivalence relations
-
Bar-Hillel A, Hertz T, Shental N, Weinshall D (2003) Learning distance functions using equivalence relations. Proceedings of the 20th international conference on, machine learning, pp 11-18.
-
(2003)
Proceedings of the 20th international conference on, machine learning
, pp. 11-18
-
-
Bar-Hillel, A.1
Hertz, T.2
Shental, N.3
Weinshall, D.4
-
15
-
-
33845594193
-
Learning distance metrics with contextual constraints for image retrieval
-
Hoi SCH, Liu W, Lyu MR, Ma WY (2006) Learning distance metrics with contextual constraints for image retrieval. Proceedings of the 9th international conference on computer vision and, pattern recognition, pp 2072-2078.
-
(2006)
Proceedings of the 9th international conference on computer vision and, pattern recognition
, pp. 2072-2078
-
-
Hoi, S.C.H.1
Liu, W.2
Lyu, M.R.3
Ma, W.Y.4
-
17
-
-
34547996209
-
Information-theoretic metric learning
-
Davis JV, Kulis B, Jain P, Sra S, Dhillon IS (2007) Information-theoretic metric learning. Proceedings of the 24th international conference on, machine learning, pp 209-216.
-
(2007)
Proceedings of the 24th international conference on, machine learning
, pp. 209-216
-
-
Davis, J.V.1
Kulis, B.2
Jain, P.3
Sra, S.4
Dhillon, I.S.5
-
22
-
-
84863346514
-
Learning bregman distance functions and its application for semi-supervised clustering
-
Wu L, Jin R, Hoi SCH, Zhu J, Yu N (2009) Learning bregman distance functions and its application for semi-supervised clustering. Adv Neural Inf Process Syst 22: 2089-2097.
-
(2009)
Adv Neural Inf Process Syst
, vol.22
, pp. 2089-2097
-
-
Wu, L.1
Jin, R.2
Hoi, S.C.H.3
Zhu, J.4
Yu, N.5
-
26
-
-
84859732263
-
Semi-supervised maxmum margin clustering with pairwise constraints
-
Zeng H, Cheung YM (2012) Semi-supervised maxmum margin clustering with pairwise constraints. IEEE Trans Knowl Data Eng 24(5): 926-939.
-
(2012)
IEEE Trans Knowl Data Eng
, vol.24
, Issue.5
, pp. 926-939
-
-
Zeng, H.1
Cheung, Y.M.2
-
30
-
-
57149147265
-
Non-negative matrix factorization for semi-supervised data clustering
-
Chen Y, Rege M, Dong M, Hua J (2008) Non-negative matrix factorization for semi-supervised data clustering. Knowl Inf Syst 17: 355-379.
-
(2008)
Knowl Inf Syst
, vol.17
, pp. 355-379
-
-
Chen, Y.1
Rege, M.2
Dong, M.3
Hua, J.4
-
36
-
-
75749147528
-
Boosting with pairwise constraints
-
Zhang C, Cai Q, Song Y (2010) Boosting with pairwise constraints. Neurocomputing 73(4-6): 908-919.
-
(2010)
Neurocomputing
, vol.73
, Issue.4-6
, pp. 908-919
-
-
Zhang, C.1
Cai, Q.2
Song, Y.3
-
39
-
-
84864041449
-
Generalized maximum margin clustering and unsupervised kernel learning
-
Valizadegan H, Jin R (2007) Generalized maximum margin clustering and unsupervised kernel learning. Adv Neural Inf Process Syst 19: 1417-1424.
-
(2007)
Adv Neural Inf Process Syst
, vol.19
, pp. 1417-1424
-
-
Valizadegan, H.1
Jin, R.2
-
42
-
-
84862291617
-
Tighter and convex maximum margin clustering
-
Li YF, Tsang IW, Kwok JT, Zhou ZH (2009) Tighter and convex maximum margin clustering. Proceedings of the 12th international conference on artificial intelligence and, statistics, pp 344-351.
-
(2009)
Proceedings of the 12th international conference on artificial intelligence and, statistics
, pp. 344-351
-
-
Li, Y.F.1
Tsang, I.W.2
Kwok, J.T.3
Zhou, Z.H.4
-
43
-
-
76749154466
-
Linear time maximum margin clustering
-
Wang F, Zhao B, Zhang C (2010) Linear time maximum margin clustering. IEEE Trans Neural Netw 21(2): 319-332.
-
(2010)
IEEE Trans Neural Netw
, vol.21
, Issue.2
, pp. 319-332
-
-
Wang, F.1
Zhao, B.2
Zhang, C.3
-
45
-
-
70450206282
-
Unsupervised maximum margin feature selection with manifold regularization
-
Zhao B, Kwok J, Wang F, Zhang C (2009) Unsupervised maximum margin feature selection with manifold regularization. Proceedings of the 12th IEEE conference on computer vision and, pattern recognition, pp 888-895.
-
(2009)
Proceedings of the 12th IEEE conference on computer vision and, pattern recognition
, pp. 888-895
-
-
Zhao, B.1
Kwok, J.2
Wang, F.3
Zhang, C.4
-
47
-
-
75249092034
-
Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
-
Shen RL, Olshen AB, Ladanyi M (2010) Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis. Bioinformatics 26: 292-293.
-
(2010)
Bioinformatics
, vol.26
, pp. 292-293
-
-
Shen, R.L.1
Olshen, A.B.2
Ladanyi, M.3
-
48
-
-
0037686659
-
The concave-convex procedure
-
Yuille AL, Rangarajan A (2003) The concave-convex procedure. Neural Comput 15(4): 915-936.
-
(2003)
Neural Comput
, vol.15
, Issue.4
, pp. 915-936
-
-
Yuille, A.L.1
Rangarajan, A.2
-
54
-
-
69849096098
-
Adapting svm for data sparseness and imbalance: a case study in information extraction
-
Li Y, Bontcheva K, Cunningham H (2009) Adapting svm for data sparseness and imbalance: a case study in information extraction. Nat Lang Eng 15: 241-271.
-
(2009)
Nat Lang Eng
, vol.15
, pp. 241-271
-
-
Li, Y.1
Bontcheva, K.2
Cunningham, H.3
-
55
-
-
68549133155
-
Learning from imbalanced data
-
He H, Garcia EA (2009) Learning from imbalanced data. IEEE Trans Knowl Data Eng 21(9): 1263-1284.
-
(2009)
IEEE Trans Knowl Data Eng
, vol.21
, Issue.9
, pp. 1263-1284
-
-
He, H.1
Garcia, E.A.2
-
58
-
-
0041965980
-
Cluster ensembles-a knowledge reuse framework for combining multiple partitions
-
Strehl A, Ghosh J (2003) Cluster ensembles-a knowledge reuse framework for combining multiple partitions. J Mach Learn Res 3: 583-617.
-
(2003)
J Mach Learn Res
, vol.3
, pp. 583-617
-
-
Strehl, A.1
Ghosh, J.2
-
61
-
-
0033536012
-
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
-
Alon U, Barkai N, Notterman DA, Gish K, Ybarra S, Mack D, Levine AJ (1999) Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc Natl Acad Sci 96: 6745-6750.
-
(1999)
Proc Natl Acad Sci
, vol.96
, pp. 6745-6750
-
-
Alon, U.1
Barkai, N.2
Notterman, D.A.3
Gish, K.4
Ybarra, S.5
Mack, D.6
Levine, A.J.7
-
62
-
-
0033569406
-
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring
-
Golub TR, Slonim DK, Tamayo P et al (1999) Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286: 531-537.
-
(1999)
Science
, vol.286
, pp. 531-537
-
-
Golub, T.R.1
Slonim, D.K.2
Tamayo, P.3
-
63
-
-
0036489046
-
Comparison of discrimination methods for the classification of tumors using gene expression data
-
Dudoit S, Fridlyand J, Speed TP (2002) Comparison of discrimination methods for the classification of tumors using gene expression data. J Am Stat Assoc 97: 77-87.
-
(2002)
J Am Stat Assoc
, vol.97
, pp. 77-87
-
-
Dudoit, S.1
Fridlyand, J.2
Speed, T.P.3
|