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Volumn , Issue , 2008, Pages 725-730

A conservative feature subset selection algorithm with missing data

Author keywords

[No Author keywords available]

Indexed keywords

EXPECTATION-MAXIMIZATION ALGORITHMS; FEATURE SUBSET SELECTION; INCOMPLETE DATA; MARKOV BLANKETS; MINIMAL SUBSET; MISSING AT RANDOMS; MISSING DATA; STATE-OF-THE-ART APPROACH;

EID: 67049165534     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2008.82     Document Type: Conference Paper
Times cited : (3)

References (19)
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    • (2003) AMIA Annu Symp Proc , pp. 21-26
    • Aliferis, C.1    Tsamardinos, I.2    Statnikov, A.3
  • 2
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Statist. Soc. Ser. B, 39(1):1-38, 1977.
    • (1977) J. Roy. Statist. Soc. Ser. B , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 4
    • 0001586968 scopus 로고    scopus 로고
    • Learning belief networks in the presence of missing values and hidden variables
    • N. Friedman. Learning belief networks in the presence of missing values and hidden variables. In ICML, pages 125- 133, 1997.
    • (1997) ICML , pp. 125-133
    • Friedman, N.1
  • 5
    • 0000854197 scopus 로고    scopus 로고
    • The bayesian structural EMalgorithm
    • N. Friedman. The bayesian structural EMalgorithm. In UAI, pages 129-138, 1998.
    • (1998) UAI , pp. 129-138
    • Friedman, N.1
  • 7
    • 0000012317 scopus 로고    scopus 로고
    • Toward optimal feature selection
    • D. Koller and M. Sahami. Toward optimal feature selection. In ICML, pages 284-292, 1996.
    • (1996) ICML , pp. 284-292
    • Koller, D.1    Sahami, M.2
  • 8
    • 84898996215 scopus 로고    scopus 로고
    • Bayesian network induction via local neighborhoods
    • D. Margaritis and S. Thrun. Bayesian network induction via local neighborhoods. In NIPS, pages 505-511, 1999.
    • (1999) NIPS , pp. 505-511
    • Margaritis, D.1    Thrun, S.2
  • 13
    • 0043198674 scopus 로고    scopus 로고
    • Robust Learning with Missing Data
    • DOI 10.1023/A:1010968702992
    • M. Ramoni and P. Sebastiani. Robust learning with missing data. Machine Learning, 45(2):147-170, 2001. (Pubitemid 33635983)
    • (2001) Machine Learning , vol.45 , Issue.2 , pp. 147-170
    • Ramoni, M.1    Sebastiani, P.2
  • 14
    • 84874707299 scopus 로고    scopus 로고
    • A novel scalable and correct markov boundary learning algorithms under faithfulness condition
    • Hirtshals, Denmark
    • S. Rodrigues de Morais and A. Aussem. A novel scalable and correct markov boundary learning algorithms under faithfulness condition. In 4th European Workshop on Probabilistic Graphical Models (PGM'08), Hirtshals, Denmark, 2008.
    • (2008) 4th European Workshop on Probabilistic Graphical Models (PGM'08)
    • De Morais, S.R.1    Aussem, A.2


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