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Volumn , Issue , 2008, Pages 81-88

A novel scalable and correct Markov boundary learning algorithm under faithfulness condition

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT-BASED; DISCOVERY ALGORITHM; FUNCTIONAL DEPENDENCY; MARKOV BOUNDARY; SYNTHETIC DATABASE;

EID: 84874707299     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (16)
  • 2
    • 33646830385 scopus 로고    scopus 로고
    • Robust independence testing for constraint-based learning of causal structure
    • Denver Dash and Marek J. Druzdzel. 2003. Robust independence testing for constraint-based learning of causal structure. In UAI, pages 167-174.
    • (2003) UAI , pp. 167-174
    • Dash, D.1    Druzdzel, M.J.2
  • 3
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Isabelle Guyon and Andŕe Elisseeff. 2003. An introduction to variable and feature selection. Journal of Machine Learning Research, 3:1157-1182.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 4
    • 33746065283 scopus 로고    scopus 로고
    • Learning bayesian networks in semi-deterministic systems
    • Wei Luo. 2006. Learning bayesian networks in semi-deterministic systems. In Canadian Conference on AI, pages 230-241.
    • (2006) Canadian Conference on AI , pp. 230-241
    • Luo, W.1
  • 10
    • 84887014299 scopus 로고    scopus 로고
    • Handling almost-deterministic relationships in constraint-based bayesian network discovery : Application to cancer risk factor identification
    • S. Rodrigues de Morais, A. Aussem, and M. Cor-bex. 2008. Handling almost-deterministic relationships in constraint-based bayesian network discovery : Application to cancer risk factor identification. In 16th European Symposium on Artificial Neural Networks ESANN'08, pages 101-106.
    • (2008) 16th European Symposium on Artificial Neural Networks ESANN'08 , pp. 101-106
    • De Rodrigues M.S.Aussem, A.1    Cor-Bex, M.2
  • 12
    • 1642397083 scopus 로고    scopus 로고
    • Algorithms for large scale markov blanket discovery
    • Ioannis Tsamardinos, Constantin F. Aliferis, and Alexander R. Statnikov. 2003. Algorithms for large scale markov blanket discovery. In FLAIRS Conference, pages 376-381.
    • (2003) FLAIRS Conference , pp. 376-381
    • Tsamardinos, I.1    Aliferis, C.F.2    Statnikov, A.R.3
  • 13
    • 33746035971 scopus 로고    scopus 로고
    • The max-min hill-climbing bayesian network structure learning algorithm
    • Ioannis Tsamardinos, Laura E. Brown, and Constantin F. Aliferis. 2006. The max-min hill-climbing bayesian network structure learning algorithm. Machine Learning, 65(1):31-78.
    • (2006) Machine Learning , vol.65 , Issue.1 , pp. 31-78
    • Tsamardinos, I.1    Brown, L.E.2    Aliferis, C.F.3
  • 14
    • 34548559167 scopus 로고    scopus 로고
    • Speculative markov blanket discovery for optimal feature selection
    • Sandeep Yaramakala and Dimitris Margaritis. 2005. Speculative markov blanket discovery for optimal feature selection. In ICDM, pages 809-812.
    • (2005) ICDM , pp. 809-812
    • Yaramakala, S.1    Margaritis, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.