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Volumn , Issue , 2007, Pages 399-404

Case-based collective classification

Author keywords

[No Author keywords available]

Indexed keywords

CASE-BASED COLLECTIVE CLASSIFICATION (CBCC); CROSS-VALIDATION;

EID: 37349099076     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (19)
  • 1
    • 84864357734 scopus 로고    scopus 로고
    • Special issue on Case-Based Reasoning
    • Aha, D.W, and Marling, C, Eds
    • Aha, D.W., and Marling, C. (Eds.) (2005). Special issue on Case-Based Reasoning. Knowledge Engineering Review, 20(3).
    • (2005) Knowledge Engineering Review , vol.20 , Issue.3
  • 9
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi, R., and John, G. (1997). Wrappers for feature subset selection. Artificial Intelligence, 97, 273-324.
    • (1997) Artificial Intelligence , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.2
  • 11
    • 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, 127-163.
    • (2000) Information Retrieval , vol.3 , pp. 127-163
    • McCallum, A.1    Nigam, K.2    Rennie, J.3    Seymore, K.4
  • 12
    • 37349069485 scopus 로고    scopus 로고
    • Neville, J. and Jensen, D. (2000). Iterative classification in relational data. In L. Getoor and D. Jensen (Eds.) Learning Statistical Models from Relational Data: Papers from the AAAI Workshop (Technical Report WS-00-06). Austin, TX: AAAI.
    • Neville, J. and Jensen, D. (2000). Iterative classification in relational data. In L. Getoor and D. Jensen (Eds.) Learning Statistical Models from Relational Data: Papers from the AAAI Workshop (Technical Report WS-00-06). Austin, TX: AAAI.
  • 13
    • 12244307639 scopus 로고    scopus 로고
    • Collective classification with relational dependency networks
    • S. Dzeroski, L. De Raedt, and S. Wrobel Eds, Washington, DC: ACM
    • Neville, J., and Jensen, D. (2003). Collective classification with relational dependency networks. In S. Dzeroski, L. De Raedt, and S. Wrobel (Eds.) Multi-Relational Data Mining: Papers from the ICKDDM Workshop. Washington, DC: ACM.
    • (2003) Multi-Relational Data Mining: Papers from the ICKDDM Workshop
    • Neville, J.1    Jensen, D.2
  • 15
    • 56049091065 scopus 로고    scopus 로고
    • Empirical comparison of approximate inference algorithms for networked data
    • A. Fern, L. Getoor, and B. Milch Eds, Pittsburgh, PA
    • Sen, P and Getoor, L. (2006). Empirical comparison of approximate inference algorithms for networked data. In A. Fern, L. Getoor, and B. Milch (Eds.) Open Problems in Statistical Relational Learning: Papers from the ICML Workshop. Pittsburgh, PA: www.cs.umd.edu/projects/srl2006.
    • (2006) Open Problems in Statistical Relational Learning: Papers from the ICML Workshop
    • Sen, P.1    Getoor, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.