메뉴 건너뛰기




Volumn , Issue , 2008, Pages 96-101

The Bayeslet concept for modular context inference

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMIC PROBLEMS; APPLICATION DEVELOPERS; CONTEXT INFERENCE; CONTEXT INFORMATION; INFERENCE RULES; LARGE NETWORKS; PERVASIVE SYSTEMS; PROBABILISTIC ALGORITHM; SERVICE MANAGEMENT;

EID: 67650075125     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UBICOMM.2008.53     Document Type: Conference Paper
Times cited : (11)

References (16)
  • 2
    • 24944559811 scopus 로고    scopus 로고
    • Issues and requirements for bayesian approaches in context aware systems
    • T. Strang and C. Linnhoff-Popien, editors, LoCA, of, Springer
    • M. Angermann, P. Robertson, and T. Strang. Issues and requirements for bayesian approaches in context aware systems. In T. Strang and C. Linnhoff-Popien, editors, LoCA, volume 3479 of Lecture Notes in Computer Science, pages 235-243. Springer, 2005.
    • (2005) Lecture Notes in Computer Science , vol.3479 , pp. 235-243
    • Angermann, M.1    Robertson, P.2    Strang, T.3
  • 3
    • 7444230557 scopus 로고    scopus 로고
    • Plug & play object oriented bayesian networks
    • R. Conejo, M. Urretavizcaya, and J.-L. P. de-la Cruz, editors, CAEPIA, of, Springer
    • O. Bangsø, M. J. Flores, and F. V. Jensen. Plug & play object oriented bayesian networks. In R. Conejo, M. Urretavizcaya, and J.-L. P. de-la Cruz, editors, CAEPIA, volume 3040 of Lecture Notes in Computer Science, pages 457-467. Springer, 2003.
    • (2003) Lecture Notes in Computer Science , vol.3040 , pp. 457-467
    • Bangsø, O.1    Flores, M.J.2    Jensen, F.V.3
  • 4
    • 0025401005 scopus 로고
    • The computational complexity of probabilistic inference using bayesian belief networks (research note)
    • 393-405
    • G. F. Cooper. The computational complexity of probabilistic inference using bayesian belief networks (research note). Artif. Intell., 42(2-3):393-405, 1990.
    • (1990) Artif. Intell , vol.42 , Issue.2-3
    • Cooper, G.F.1
  • 5
    • 67650039035 scopus 로고    scopus 로고
    • R. Dodier. A revision of the bayesian network interchange format
    • R. Dodier. A revision of the bayesian network interchange format.
  • 7
    • 0003846041 scopus 로고
    • A Tutorial on Learning Bayesian Networks
    • Technical Report MSR-TR-95-06, March
    • D. Heckerman. A Tutorial on Learning Bayesian Networks. Technical Report MSR-TR-95-06, March 1995.
    • (1995)
    • Heckerman, D.1
  • 10
    • 67650049944 scopus 로고    scopus 로고
    • K. B. Laskey and S.M.Mahoney. Network fragments: Representing knowledge for constructing probabilistic models. In D. Geiger and P. P. Shenoy, editors, UAI, pages 334-341. Morgan Kaufmann, 1997.
    • K. B. Laskey and S.M.Mahoney. Network fragments: Representing knowledge for constructing probabilistic models. In D. Geiger and P. P. Shenoy, editors, UAI, pages 334-341. Morgan Kaufmann, 1997.
  • 11
    • 0004213845 scopus 로고    scopus 로고
    • Cambridge University Press, Mar
    • J. Pearl. Causality, pages 36 - 38. Cambridge University Press, Mar 2000.
    • (2000) Causality , pp. 36-38
    • Pearl, J.1
  • 12
    • 34547281787 scopus 로고    scopus 로고
    • An architecture for situation-aware driver assistance systems
    • IEEE
    • M. Röckl, P. Robertson, K. Frank, and T. Strang. An architecture for situation-aware driver assistance systems. In VTC Spring, pages 2555-2559. IEEE, 2007.
    • (2007) VTC Spring , pp. 2555-2559
    • Röckl, M.1    Robertson, P.2    Frank, K.3    Strang, T.4
  • 13
    • 69949148492 scopus 로고    scopus 로고
    • M. R̈ockl, T. Strang, M. Kranz, J. Gacnik, and J. Schomerus. Hybrid fusion approach combining autonomous and cooperative detection and ranging methods for situation-aware driver assistance sytems. In PIMRC 08, September 2008.
    • M. R̈ockl, T. Strang, M. Kranz, J. Gacnik, and J. Schomerus. Hybrid fusion approach combining autonomous and cooperative detection and ranging methods for situation-aware driver assistance sytems. In PIMRC 08, September 2008.
  • 16
    • 84990616603 scopus 로고
    • Multiply sectioned bayesian networks and junction forests for large knowledge-based systems
    • Y. Xiang, D. Poole, and M. P. Beddoes. Multiply sectioned bayesian networks and junction forests for large knowledge-based systems. Computational Intelligence, 9:171-220, 1993.
    • (1993) Computational Intelligence , vol.9 , pp. 171-220
    • Xiang, Y.1    Poole, D.2    Beddoes, M.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.