-
1
-
-
34548684166
-
Clustering of sparse data via network communities-a prototype study of a large online market
-
Reichardt, J. & Bornholdt, S. (2007) Clustering of sparse data via network communities-a prototype study of a large online market. J. Stat. Mech.: Theor. Exp., 2007, P06016.
-
(2007)
J. Stat. Mech.: Theor. Exp
, vol.2007
-
-
Reichardt, J.1
Bornholdt, S.2
-
2
-
-
84958161527
-
The political blogosphere and the 2004
-
LinkKDD'05: Proceedings of the 3rd international workshop on Link Discovery. Chicago, Illinois
-
Adamic, L. & Glance, N. (2005) The political blogosphere and the 2004 U.S. Election: divided they blog. LinkKDD'05: Proceedings of the 3rd international workshop on Link Discovery. Chicago, Illinois, pp. 36-43.
-
(2005)
U.S. Election: divided they blog
, pp. 36-43
-
-
Adamic, L.1
Glance, N.2
-
3
-
-
33748701649
-
Detecting functional modules in the yeast protein-protein interaction network
-
Chen, J. & Yuan, B. (2006) Detecting functional modules in the yeast protein-protein interaction network. Bioinformatics, 22, 2283-2290.
-
(2006)
Bioinformatics
, vol.22
, pp. 2283-2290
-
-
Chen, J.1
Yuan, B.2
-
4
-
-
7044264926
-
Chains of affection: the structure of adolescent romantic and sexual networks
-
Bearman, P. S., Moody, J. & Stovel, K. (2004) Chains of affection: the structure of adolescent romantic and sexual networks. Am. J. Sociol., 110, 44-91.
-
(2004)
Am. J. Sociol
, vol.110
, pp. 44-91
-
-
Bearman, P.S.1
Moody, J.2
Stovel, K.3
-
5
-
-
66749161576
-
Food web models: a plea for groups
-
Allesina, S. & Pascual, M. (2009) Food web models: a plea for groups. Ecol. Lett., 12, 652-662.
-
(2009)
Ecol. Lett
, vol.12
, pp. 652-662
-
-
Allesina, S.1
Pascual, M.2
-
6
-
-
0012864758
-
Stochastic blockmodels: first steps
-
Holland, P. W., Laskey, K. B. & Leinhardt, S. (1983) Stochastic blockmodels: first steps. Soc. Netw., 5, 109-137.
-
(1983)
Soc. Netw
, vol.5
, pp. 109-137
-
-
Holland, P.W.1
Laskey, K.B.2
Leinhardt, S.3
-
7
-
-
0442296603
-
Estimation and prediction for stochastic blockstructures
-
Nowicki, K. & Snijders, T. A. B. (2001) Estimation and prediction for stochastic blockstructures. J. Am. Stat. Assoc., 96, 1077-1087.
-
(2001)
J. Am. Stat. Assoc
, vol.96
, pp. 1077-1087
-
-
Nowicki, K.1
Snijders, T.A.B.2
-
9
-
-
84859049367
-
Collective classification of congressional floor-debate transcripts
-
Portland, Oregon. Association for Computational Linguistics
-
Burfoot, C., Bird, S. & Baldwin, T. (2011) Collective classification of congressional floor-debate transcripts. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Portland, Oregon, vol. 1. Association for Computational Linguistics, pp. 1506-1515.
-
(2011)
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
, vol.1
, pp. 1506-1515
-
-
Burfoot, C.1
Bird, S.2
Baldwin, T.3
-
10
-
-
84873576763
-
Multi-label collective classification
-
Mesa, Arizona: SIAM/Omnipress
-
Kong, X., Shi, X. & Yu, P. S. (2011) Multi-label collective classification. Proceedings of the Eleventh SIAM International Conference on Data Mining. Mesa, Arizona: SIAM/Omnipress, pp. 618-629.
-
(2011)
Proceedings of the Eleventh SIAM International Conference on Data Mining
, pp. 618-629
-
-
Kong, X.1
Shi, X.2
Yu, P.S.3
-
14
-
-
53749083869
-
Collective classification in network data
-
Sen, P., Namata, G. M., Bilgic, M., Getoor, L., Gallagher, B. & Eliassi-Rad, T. (2008) Collective classification in network data. AI Mag., 29, 93-106.
-
(2008)
AI Mag
, vol.29
, pp. 93-106
-
-
Sen, P.1
Namata, G.M.2
Bilgic, M.3
Getoor, L.4
Gallagher, B.5
Eliassi-Rad, T.6
-
15
-
-
33749393955
-
Robust collective classification with contextual dependency network models
-
Xi'an, China: Springer
-
Tian, Y., Huang, T. & Gao, W. (2006) Robust collective classification with contextual dependency network models. Proceedings of the Second International Conference on Advanced Data Mining and Applications. Xi'an, China: Springer, pp. 173-180.
-
(2006)
Proceedings of the Second International Conference on Advanced Data Mining and Applications
, pp. 173-180
-
-
Tian, Y.1
Huang, T.2
Gao, W.3
-
16
-
-
14344254639
-
Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions
-
Washington, DC
-
Zhu, X., Lafferty, J. & Ghahramani, Z. (2003) Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions. ICML 2003 Workshop on The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining. Washington, DC, pp. 58-65.
-
(2003)
ICML 2003 Workshop on The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining
, pp. 58-65
-
-
Zhu, X.1
Lafferty, J.2
Ghahramani, Z.3
-
17
-
-
34249102504
-
Classification in networked data: a toolkit and a univariate case study
-
Macskassy, S. A. & Provost, F. (2007) Classification in networked data: a toolkit and a univariate case study. J. Mach. Learn. Res., 8, 935-983.
-
(2007)
J. Mach. Learn. Res
, vol.8
, pp. 935-983
-
-
Macskassy, S.A.1
Provost, F.2
-
19
-
-
84880090145
-
A block model suitable for sparse graphs
-
Leuven, Belgium. Extended Abstract
-
Parkkinen, J., Sinkkonen, J., Gyenge, A. & Kaski, S. (2009) A block model suitable for sparse graphs. Proceedings of the 7th International Workshop on Mining and Learning with Graphs (MLG 2009), Leuven, Belgium. Extended Abstract.
-
(2009)
Proceedings of the 7th International Workshop on Mining and Learning with Graphs (MLG 2009)
-
-
Parkkinen, J.1
Sinkkonen, J.2
Gyenge, A.3
Kaski, S.4
-
20
-
-
84858778756
-
Mixed membership stochastic block models
-
Red Hook, NY: Curran Associates
-
Airoldi, E. M., Blei, D. M., Fienberg, S. E. & Xing, E. P. (2009) Mixed membership stochastic block models. Advances in Neural Information Processing Systems. Red Hook, NY: Curran Associates, pp. 33-40.
-
(2009)
Advances in Neural Information Processing Systems
, pp. 33-40
-
-
Airoldi, E.M.1
Blei, D.M.2
Fienberg, S.E.3
Xing, E.P.4
-
21
-
-
84864061876
-
A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation
-
Teh, Y. W., Newman, D. & Welling, M. (2007) A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation. Adv. Neural Inf. Process. Syst., 19.
-
(2007)
Adv. Neural Inf. Process. Syst
, vol.19
-
-
Teh, Y.W.1
Newman, D.2
Welling, M.3
-
23
-
-
84898948585
-
Max-margin Markov networks
-
(S. Thrun, L. Saul & B. Schölkopf eds). Cambridge, MA: MIT Press
-
Taskar, B., Guestrin, C. & Koller, D. (2004) Max-margin Markov networks. Advances in Neural Information Processing Systems (S. Thrun, L. Saul & B. Schölkopf eds), vol. 16. Cambridge, MA: MIT Press.
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
-
-
Taskar, B.1
Guestrin, C.2
Koller, D.3
-
24
-
-
84869186087
-
MedLDA: maximum margin supervised topic models
-
Zhu, J., Ahmed, A. & Xing, E. P. (2012) MedLDA: maximum margin supervised topic models. J. Mach. Learn. Res., 13, 2237-2278.
-
(2012)
J. Mach. Learn. Res
, vol.13
, pp. 2237-2278
-
-
Zhu, J.1
Ahmed, A.2
Xing, E.P.3
-
25
-
-
84880867839
-
Maximum margin coresets for active and noise tolerant learning
-
San Francisco, CA, USA: Morgan Kaufmann Publishers, Inc
-
Har-Peled, S., Roth, D. & Zimak, D. (2007) Maximum margin coresets for active and noise tolerant learning. Proceedings of the 20th International Joint Conference on Artificial Intelligence. San Francisco, CA, USA: Morgan Kaufmann Publishers, Inc., pp. 836-841.
-
(2007)
Proceedings of the 20th International Joint Conference on Artificial Intelligence
, pp. 836-841
-
-
Har-Peled, S.1
Roth, D.2
Zimak, D.3
-
26
-
-
33750320924
-
Margin-based active learning for structured output spaces
-
Berlin, Germany, September 18-22, 2006 (J. Fürnkranz, T. Scheffer & M. Spiliopoulou eds). Springer
-
Roth, D. & Small, K. (2006) Margin-based active learning for structured output spaces. Machine Learning: ECML 2006, Proceedings of the 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006 (J. Fürnkranz, T. Scheffer &M. Spiliopoulou eds), vol. 4212. Springer, pp. 413-424.
-
(2006)
Machine Learning: ECML 2006, Proceedings of the 17th European Conference on Machine Learning
, vol.4212
, pp. 413-424
-
-
Roth, D.1
Small, K.2
-
27
-
-
0042868698
-
Support vector machine active learning with applications to text classification
-
Tong, S. & Koller, D. (2001) Support vector machine active learning with applications to text classification. J. Mach. Learn. Res., 2, 45-66.
-
(2001)
J. Mach. Learn. Res
, vol.2
, pp. 45-66
-
-
Tong, S.1
Koller, D.2
-
28
-
-
84964085441
-
On the algorithmic implementation of multiclass kernel-based vector machines
-
Crammer, K. & Singer, Y. (2002) On the algorithmic implementation of multiclass kernel-based vector machines. J. Mach. Learn. Res., 2, 265-292.
-
(2002)
J. Mach. Learn. Res
, vol.2
, pp. 265-292
-
-
Crammer, K.1
Singer, Y.2
-
29
-
-
77951138987
-
Performance of modularity maximization in practical contexts
-
Good, B. H., de Montjoye, Y.-A. & Clauset, A. (2010) Performance of modularity maximization in practical contexts. Phys. Rev. E, 81, 046106.
-
(2010)
Phys. Rev. E
, vol.81
-
-
Good, B.H.1
de Montjoye, Y.-A.2
Clauset, A.3
-
30
-
-
84898964031
-
A variational Bayesian framework for graphical models
-
Attias, H. (2000) A variational Bayesian framework for graphical models. Adv. Neural Inf. Process. Syst., 12, pp. 209-215.
-
(2000)
Adv. Neural Inf. Process. Syst
, vol.12
, pp. 209-215
-
-
Attias, H.1
-
31
-
-
56549085814
-
Latent-space variational Bayes
-
Sung, J., Ghahramani, Z. & Bang, S.-Y. (2008) Latent-space variational Bayes. IEEE Trans. Pattern Anal. Mach. Intell., 30, 2236-2242.
-
(2008)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.30
, pp. 2236-2242
-
-
Sung, J.1
Ghahramani, Z.2
Bang, S.-Y.3
-
32
-
-
77954725706
-
On smoothing and inference for topic models
-
Quebec, Canada
-
Asuncion, A., Welling, M., Smyth, P. & Teh, Y.W. (2009) On smoothing and inference for topic models. Proceedings of the International Conference on Uncertainty in Artificial Intelligence. Quebec, Canada.
-
(2009)
Proceedings of the International Conference on Uncertainty in Artificial Intelligence
-
-
Asuncion, A.1
Welling, M.2
Smyth, P.3
Teh, Y.W.4
-
33
-
-
24944537843
-
Large margin methods for structured and interdependent output variables
-
Tsochantaridis, I., Joachims, T., Hofmann, T. & Altun, Y. (2005) Large margin methods for structured and interdependent output variables. J. Mach. Learn. Res., 6, 1453-1484.
-
(2005)
J. Mach. Learn. Res
, vol.6
, pp. 1453-1484
-
-
Tsochantaridis, I.1
Joachims, T.2
Hofmann, T.3
Altun, Y.4
-
34
-
-
80052676927
-
Active learning for node classification in assortative and disassortative networks
-
San Diego, California: ACM
-
Moore, C., Yan, X., Zhu, Y., Rouquier, J.-B. & Lane, T. (2011) Active learning for node classification in assortative and disassortative networks. Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Diego, California: ACM, pp. 841-849.
-
(2011)
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 841-849
-
-
Moore, C.1
Yan, X.2
Zhu, Y.3
Rouquier, J.-B.4
Lane, T.5
-
35
-
-
42449110882
-
An information flow model for conflict and fission in small groups
-
Zachary, W. W. (1977) An information flow model for conflict and fission in small groups. J. Anthropol. Res., 33, 452-473.
-
(1977)
J. Anthropol. Res
, vol.33
, pp. 452-473
-
-
Zachary, W.W.1
-
36
-
-
33749468596
-
Finding community structure in networks using the eigenvectors of matrices
-
Newman, M. E. J. (2006) Finding community structure in networks using the eigenvectors of matrices. Phys. Rev. E, 74, 036104.
-
(2006)
Phys. Rev. E
, vol.74
-
-
Newman, M.E.J.1
-
37
-
-
28644452503
-
Body sizes of consumers and their resources
-
Brose, U., Cushing, L., Berlow, E. L., Jonsson, T., Banasek-Richter, C., Bersier, L.-F., Blanchard, J. L., Brey, T., Carpenter, S. R., Blandenier, M.-F. C. et al. (2005) Body sizes of consumers and their resources. Ecology, 86, 2545.
-
(2005)
Ecology
, vol.86
, pp. 2545
-
-
Brose, U.1
Cushing, L.2
Berlow, E.L.3
Jonsson, T.4
Banasek-Richter, C.5
Bersier, L.-F.6
Blanchard, J.L.7
Brey, T.8
Carpenter, S.R.9
Blandenier, M.-F.C.10
-
39
-
-
84954254311
-
-
NIPS Workshop on Analyzing Networks and Learning with Graphs. Vancouver, B.C., Canada
-
Bilgic, M. & Getoor, L. (2009) Link-based Active Learning. NIPS Workshop on Analyzing Networks and Learning with Graphs. Vancouver, B.C., Canada.
-
(2009)
Link-based Active Learning
-
-
Bilgic, M.1
Getoor, L.2
-
41
-
-
0002714543
-
Making large-scale support vector machine learning practical
-
(B. Schölkopf, C. J. C. Burges & A. J. Smola eds), Cambridge, MA: MIT Press
-
Joachims, T. (1999) Making large-scale support vector machine learning practical. Advances in Kernel Methods (B. Schölkopf, C. J. C. Burges & A. J. Smola eds), Cambridge, MA: MIT Press, pp. 169-184.
-
(1999)
Advances in Kernel Methods
, pp. 169-184
-
-
Joachims, T.1
|