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Volumn 1, Issue , 2007, Pages 590-595

Improving learning in networked data by combining explicit and mined links

Author keywords

[No Author keywords available]

Indexed keywords

HYPERLINKS; INFORMATION SOURCES; RELATIONAL LEARNING;

EID: 36348987716     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (33)

References (24)
  • 13
    • 34249102504 scopus 로고    scopus 로고
    • Classification in Networked Data: A toolkit and a univariate case study
    • forthcoming
    • Macskassy, S. A., and Provost, F. forthcoming. Classification in Networked Data: A toolkit and a univariate case study. Journal of Machine Learning Research.
    • Journal of Machine Learning Research
    • Macskassy, S.A.1    Provost, F.2
  • 14
    • 0000806922 scopus 로고    scopus 로고
    • Automating the Construction of Internet Portals with Machine Learning
    • McCallum, A.; Nigam, K.; Rennie, J.; and Seymore, K. 2000. Automating the Construction of Internet Portals with Machine Learning. Information Retrieval 3(2): 127-163.
    • (2000) Information Retrieval , vol.3 , Issue.2 , pp. 127-163
    • McCallum, A.1    Nigam, K.2    Rennie, J.3    Seymore, K.4
  • 18
    • 0038752085 scopus 로고    scopus 로고
    • Mixing patterns in networks
    • Newman, M. E. J. 2003. Mixing patterns in networks. Physical Review E 67. 026126.
    • (2003) Physical Review E , vol.67 , pp. 026126
    • Newman, M.E.J.1
  • 22
    • 84880884400 scopus 로고    scopus 로고
    • Taskar, B.; Segal, E.; and Koller, D. 2001. Probabilistic Classification and Clustering in Relational Data. In Proceedings of the 17th International Joint Conference on Artificial Intelligence. Vapnik, V. N. 1998. Statistical Learning Theory. John Wiley, NY.
    • Taskar, B.; Segal, E.; and Koller, D. 2001. Probabilistic Classification and Clustering in Relational Data. In Proceedings of the 17th International Joint Conference on Artificial Intelligence. Vapnik, V. N. 1998. Statistical Learning Theory. John Wiley, NY.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.