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Volumn , Issue , 2012, Pages 1091-1097

Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; KNOWLEDGE MANAGEMENT; LEARNING ALGORITHMS;

EID: 84926142776     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (20)
  • 1
    • 0346238931 scopus 로고    scopus 로고
    • Task clustering and gating for Bayesian multitask learning
    • Bakker, B., and Heskes, T. 2003. Task clustering and gating for Bayesian multitask learning. Journal of Machine Learning Research 4:83-99.
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 83-99
    • Bakker, B.1    Heskes, T.2
  • 3
    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning
    • Caruana, R. 1997. Multitask learning. Machine Learning 28(1):41-75.
    • (1997) Machine Learning , vol.28 , Issue.1 , pp. 41-75
    • Caruana, R.1
  • 8
    • 0037262841 scopus 로고    scopus 로고
    • Being Bayesian about network structure. a Bayesian approach to structure discovery in Bayesian networks
    • Friedman, N., and Koller, D. 2003. Being Bayesian about network structure. a Bayesian approach to structure discovery in Bayesian networks. Machine Learning 50(1):95-125.
    • (2003) Machine Learning , vol.50 , Issue.1 , pp. 95-125
    • Friedman, N.1    Koller, D.2
  • 9
    • 0041924877 scopus 로고    scopus 로고
    • Dynamic causal modelling
    • Friston, K. J.; Harrison, L.; and Penny, W. 2003. Dynamic causal modelling. NeuroImage 19(4):1273-1302.
    • (2003) NeuroImage , vol.19 , Issue.4 , pp. 1273-1302
    • Friston, K. J.1    Harrison, L.2    Penny, W.3
  • 10
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • Heckerman, D.; Geiger, D.; and Chickering, D. M. 1995. Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning 20(3):197-243.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D. M.3
  • 16
    • 84868273637 scopus 로고    scopus 로고
    • Temporal graphical models for cross-species gene regulatory network discovery
    • Liu, Y.; Niculescu-Mizil, A.; Lozano, A.; and Lu, Y. 2010. Temporal graphical models for cross-species gene regulatory network discovery. In Proc LSS Comput Syst Bioinform Conf, volume 9, 70-81.
    • (2010) Proc LSS Comput Syst Bioinform Conf , vol.9 , pp. 70-81
    • Liu, Y.1    Niculescu-Mizil, A.2    Lozano, A.3    Lu, Y.4
  • 17
    • 78149401395 scopus 로고    scopus 로고
    • Inductive transfer for learning Bayesian networks
    • Luis, R.; Sucar, L. E.; and Morales, E. F. 2009. Inductive transfer for learning Bayesian networks. Machine Learning 79(1-2):227-255.
    • (2009) Machine Learning , vol.79 , Issue.1-2 , pp. 227-255
    • Luis, R.1    Sucar, L. E.2    Morales, E. F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.