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Volumn 3, Issue 4, 2009, Pages

Reflect and correct: A misclassification prediction approach to active inference

Author keywords

Active inference; Collective classification; Information diffusion; Label acquisition; Viral marketing

Indexed keywords

ACTIVE INFERENCE; CLASSIFICATION SYSTEM; COMPLEX MODEL; GLOBAL OBJECTIVE; GRAPH-BASED; HEURISTIC TECHNIQUES; INFORMATION DIFFUSION; LABEL PROPAGATION; LABELING ALGORITHMS; MARKOV RANDOM FIELDS; MISCLASSIFICATIONS; NETWORK CLUSTERING; NODE DEGREE; OBJECTIVE FUNCTIONS; OPTIMAL SETS; REAL-WORLD DATASETS; SEMI-SUPERVISED LEARNING; SIMPLE MODEL; STRUCTURAL MEASURES; VIRAL MARKETING;

EID: 72449142164     PISSN: 15564681     EISSN: 1556472X     Source Type: Journal    
DOI: 10.1145/1631162.1631168     Document Type: Article
Times cited : (20)

References (47)
  • 5
    • 33749252873 scopus 로고    scopus 로고
    • CHAPELLE, O., SCHÖLKOPF, B., AND ZIEN, A., Eds. MIT Press, Cambridge, MA
    • CHAPELLE, O., SCHÖLKOPF, B., AND ZIEN, A., Eds. 2006. Semi-Supervised Learning. MIT Press, Cambridge, MA.
    • (2006) Semi-Supervised Learning
  • 6
    • 0028424239 scopus 로고
    • Improving generalization with active learning
    • COHN, D., ATLAS, L., AND LADNER, R. 1994. Improving generalization with active learning. Mach. Learn. 15, 2, 201-221.
    • (1994) Mach. Learn. , vol.15 , Issue.2 , pp. 201-221
    • Cohn, D.1    Atlas, L.2    Ladner, R.3
  • 8
    • 0031209604 scopus 로고    scopus 로고
    • Selective sampling using the query by committee algorithm
    • FREUND, Y., SEUNG, H. S., SHAMIR, E., AND TISHBY, N. 1997. Selective sampling using the query by committee algorithm. Mach. Learn. 28, 2, 133-168.
    • (1997) Mach. Learn. , vol.28 , Issue.2 , pp. 133-168
    • Freund, Y.1    Seung, H.S.2    Shamir, E.3    Tishby, N.4
  • 15
    • 0033225865 scopus 로고    scopus 로고
    • An introduction to variational methods for graphical models
    • JORDAN,M. I.,GHAHRAMANI, Z., JAAKKOLA, T. S., AND SAUL, L.K. 1999. An introduction to variational methods for graphical models. Mach. Learn. 37, 2, 183-233.
    • (1999) Mach. Learn. , vol.37 , Issue.2 , pp. 183-233
    • Jordan, M.I.1    Ghahramani, Z.2    Jaakkola, T.S.3    Saul, L.K.4
  • 25
    • 34249102504 scopus 로고    scopus 로고
    • Classification in networked data: A toolkit and a univariate case study
    • MACSKASSY, S. AND 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.1    Provost, F.2
  • 27
    • 0000806922 scopus 로고    scopus 로고
    • Automating the construction of internet portals with machine learning
    • MCCALLUM, A. K., NIGAM, K., RENNIE, J., AND SEYMORE, K. 2000. Automating the construction of internet portals with machine learning. Inf. Retrieval 3, 2, 127-163.
    • (2000) Inf. Retrieval , vol.3 , Issue.2 , pp. 127-163
    • McCallum, A.K.1    Nigam, K.2    Rennie, J.3    Seymore, K.4
  • 31
    • 0038752085 scopus 로고    scopus 로고
    • Mixing patterns in networks
    • NEWMAN, M. E. J. 2003. Mixing patterns in networks. Phys. Rev. E 67, 2, 026126.
    • (2003) Phys. Rev. E , vol.67 , Issue.2 , pp. 026126
    • Newman, M.E.J.1
  • 35
    • 32044466073 scopus 로고    scopus 로고
    • Markov logic networks
    • RICHARDSON, M. AND DOMINGOS, P. 2006. Markov logic networks. Mach. Learn. 62, 1-2, 107-136.
    • (2006) Mach. Learn. , vol.62 , Issue.1-2 , pp. 107-136
    • Richardson, M.1    Domingos, P.2
  • 37
    • 1242285091 scopus 로고    scopus 로고
    • Active sampling for class probability estimation and ranking
    • SAAR-TSECHANSKY, M. AND PROVOST, F. 2004. Active sampling for class probability estimation and ranking. Mach. Learn. 54, 2, 153-178.
    • (2004) Mach. Learn. , vol.54 , Issue.2 , pp. 153-178
    • Saar-Tsechansky, M.1    Provost, F.2
  • 42
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • TONG, S. AND KOLLER, D. 2002. Support vector machine active learning with applications to text classification. J. Mach. Learn. Res. 2, 45-66.
    • (2002) J. Mach. Learn. Res. , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 43
    • 67149088773 scopus 로고    scopus 로고
    • Pseudolikelihood em for within-network relational learning
    • IEEE Computer Society Press, Los Alamitos, CA
    • XIANG, R. AND NEVILLE, J. 2008. Pseudolikelihood em for within-network relational learning. In Proceedings of the IEEE International Conference on Data Mining. IEEE Computer Society Press, Los Alamitos, CA, 1103-1108.
    • (2008) Proceedings of the IEEE International Conference on Data Mining , pp. 1103-1108
    • Xiang, R.1    Neville, J.2
  • 46
    • 26444592207 scopus 로고    scopus 로고
    • Learning from labeled and unlabeled data with label propagation
    • Carnegie Mellon University
    • ZHU, X. AND GHAHRAMANI, Z. 2002. Learning from labeled and unlabeled data with label propagation. Tech. Rep. CMU-CALD-02-107, Carnegie Mellon University.
    • (2002) Tech. Rep. CMU-CALD-02-107
    • Zhu, X.1    Ghahramani, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.