메뉴 건너뛰기




Volumn 19, Issue 1, 2004, Pages 140-155

Graphical Models

Author keywords

Bioinformatics; Error control coding; Junction tree algorithm; Markov chain Monte Carlo; Probabilistic graphical models; Sum product algorithm; Variational inference

Indexed keywords


EID: 4043129651     PISSN: 08834237     EISSN: None     Source Type: Journal    
DOI: 10.1214/088342304000000026     Document Type: Review
Times cited : (535)

References (41)
  • 3
    • 84898964031 scopus 로고    scopus 로고
    • A variational Bayesian framework for graphical models
    • S. A. Solla, T. K. Leen and K.-R. Müller, eds.. MIT Press, Cambridge, MA
    • ATTIAS, H. (2000). A variational Bayesian framework for graphical models. In Advances in Neural Information Processing Systems (S. A. Solla, T. K. Leen and K.-R. Müller, eds.). 12 209-215. MIT Press, Cambridge, MA.
    • (2000) Advances in Neural Information Processing Systems , vol.12 , pp. 209-215
    • Attias, H.1
  • 4
    • 0037841402 scopus 로고    scopus 로고
    • Graphical models and automatic speech recognition
    • M. Johnson, S. Khudanpur, M. Ostendorf and R. Rosenfield, eds.. Springer, New York
    • BILMES, J. (2004). Graphical models and automatic speech recognition. In Mathematical Foundations of Speech and Language Processing (M. Johnson, S. Khudanpur, M. Ostendorf and R. Rosenfield, eds.). Springer, New York.
    • (2004) Mathematical Foundations of Speech and Language Processing
    • Bilmes, J.1
  • 5
    • 4043156734 scopus 로고    scopus 로고
    • Hierarchical Bayesian models for applications in information retrieval
    • J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West, eds. Oxford Univ. Press
    • BLEI, D. M., JORDAN, M. I. and NG, A. Y. (2003). Hierarchical Bayesian models for applications in information retrieval (with discussion). In Bayesian Statistics 7 (J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West, eds.) 25-43. Oxford Univ. Press.
    • (2003) Bayesian Statistics , vol.7 , pp. 25-43
    • Blei, D.M.1    Jordan, M.I.2    Ng, A.Y.3
  • 9
    • 0015183542 scopus 로고
    • A general model for the genetic analysis of pedigree data
    • ELSTON, R. C. and STEWART, J. (1971). A general model for the genetic analysis of pedigree data. Human Heredity 21 523-542.
    • (1971) Human Heredity , vol.21 , pp. 523-542
    • Elston, R.C.1    Stewart, J.2
  • 10
    • 0019797407 scopus 로고
    • Evolutionary trees from DNA sequences: A maximum likelihood approach
    • FELSENSTEIN, J. (1981). Evolutionary trees from DNA sequences: A maximum likelihood approach. J. Molecular Evolution 17 368-376.
    • (1981) J. Molecular Evolution , vol.17 , pp. 368-376
    • Felsenstein, J.1
  • 12
    • 84899003086 scopus 로고    scopus 로고
    • Propagation algorithms for variational Bayesian learning
    • D. S. Touretzky, M. C. Mozer and M. E. Hasselmo, eds. MIT Press, Cambridge, MA
    • GHAHRAMANI, Z. and BEAL, M. (2001). Propagation algorithms for variational Bayesian learning. In Advances in Neural Information Processing Systems (D. S. Touretzky, M. C. Mozer and M. E. Hasselmo, eds.) 13 507-513. MIT Press, Cambridge, MA.
    • (2001) Advances in Neural Information Processing Systems , vol.13 , pp. 507-513
    • Ghahramani, Z.1    Beal, M.2
  • 13
    • 0031268341 scopus 로고    scopus 로고
    • Factorial hidden Markov models
    • GHAHRAMANI, Z. and JORDAN, M. I. (1997). Factorial hidden Markov models. Machine Learning 29 245-273.
    • (1997) Machine Learning , vol.29 , pp. 245-273
    • Ghahramani, Z.1    Jordan, M.I.2
  • 14
    • 0001178202 scopus 로고
    • A language and a program for complex Bayesian modelling
    • GILKS, W., THOMAS, A. and SPIEGELHALTER, D. (1994). A language and a program for complex Bayesian modelling. The Statistician 43 169-177.
    • (1994) The Statistician , vol.43 , pp. 169-177
    • Gilks, W.1    Thomas, A.2    Spiegelhalter, D.3
  • 15
    • 0035527347 scopus 로고    scopus 로고
    • Empirical and hierarchical Bayesian estimation of ancestral states
    • HUELSENBECK, J. P. and BOLLBACK, J. P. (2001). Empirical and hierarchical Bayesian estimation of ancestral states. Systematic Biology 50 351-366.
    • (2001) Systematic Biology , vol.50 , pp. 351-366
    • Huelsenbeck, J.P.1    Bollback, J.P.2
  • 18
  • 20
    • 0000803318 scopus 로고
    • Construction of multilocus genetic linkage maps in humans
    • LANDER, E. S. and GREEN, P. (1987). Construction of multilocus genetic linkage maps in humans. Proc. Nat. Acad. Sci. U.S.A. 84 2363-2367.
    • (1987) Proc. Nat. Acad. Sci. U.S.A. , vol.84 , pp. 2363-2367
    • Lander, E.S.1    Green, P.2
  • 22
    • 4043120130 scopus 로고    scopus 로고
    • General lower bounds based on computer generated higher order expansions
    • Morgan Kaufmann, San Mateo, CA
    • LEISINK, M. A. R. and KAPPEN, H. J. (2002). General lower bounds based on computer generated higher order expansions. In Proc. 18th Conf. Uncertainty in Artificial Intelligence 293-300. Morgan Kaufmann, San Mateo, CA.
    • (2002) Proc. 18th Conf. Uncertainty in Artificial Intelligence , pp. 293-300
    • Leisink, M.A.R.1    Kappen, H.J.2
  • 29
    • 0035246127 scopus 로고    scopus 로고
    • Design of capacity-approaching irregular low-density parity-check codes
    • RICHARDSON, T., SHOKROLLAHI, M. A. and URBANKE, R. (2001). Design of capacity-approaching irregular low-density parity-check codes. IEEE Trans. Inform. Theory 47 619-637.
    • (2001) IEEE Trans. Inform. Theory , vol.47 , pp. 619-637
    • Richardson, T.1    Shokrollahi, M.A.2    Urbanke, R.3
  • 32
    • 0030282113 scopus 로고    scopus 로고
    • The power of amnesia: Learning probabilistic automata with variable memory length
    • RON, D., SINGER, Y. and TISHBY, N. (1996). The power of amnesia: Learning probabilistic automata with variable memory length. Machine Learning 25 117-149.
    • (1996) Machine Learning , vol.25 , pp. 117-149
    • Ron, D.1    Singer, Y.2    Tishby, N.3
  • 33
    • 85153929881 scopus 로고
    • Boltzmann chains and hidden Markov models
    • G. Tesauro, D. Touretzky and T. Leen, eds. MIT Press, Cambridge, MA
    • SAUL, L. K. and JORDAN, M. I. (1995). Boltzmann chains and hidden Markov models. In Advances in Neural Information Processing Systems (G. Tesauro, D. Touretzky and T. Leen, eds.) 7 435-442. MIT Press, Cambridge, MA.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 435-442
    • Saul, L.K.1    Jordan, M.I.2
  • 34
    • 0032596518 scopus 로고    scopus 로고
    • Mixed memory Markov models: Decomposing complex stochastic processes as mixtures of simpler ones
    • SAUL, L. K. and JORDAN, M. I. (1999). Mixed memory Markov models: Decomposing complex stochastic processes as mixtures of simpler ones. Machine Learning 37 75-87.
    • (1999) Machine Learning , vol.37 , pp. 75-87
    • Saul, L.K.1    Jordan, M.I.2
  • 37
    • 0042226484 scopus 로고    scopus 로고
    • Multilocus linkage analysis by blocked Gibbs sampling
    • THOMAS, A., GUTIN, A., ABKEVICH, V. and BANSAL, A. (2000). Multilocus linkage analysis by blocked Gibbs sampling. Statist. Comput. 10 259-269.
    • (2000) Statist. Comput. , vol.10 , pp. 259-269
    • Thomas, A.1    Gutin, A.2    Abkevich, V.3    Bansal, A.4
  • 38
    • 4043069967 scopus 로고    scopus 로고
    • Bayesian methods for neural networks and related models
    • TITTERINGTON, D. M. (2004). Bayesian methods for neural networks and related models. Statist. Sci. 19 128-139.
    • (2004) Statist. Sci. , vol.19 , pp. 128-139
    • Titterington, D.M.1
  • 39
    • 4043152487 scopus 로고    scopus 로고
    • Graphical models, exponential families, and variational inference
    • Dept. Statistics, Univ. California, Berkeley
    • WAINWRIGHT, M. J. and JORDAN, M. I. (2003). Graphical models, exponential families, and variational inference. Technical Report 649, Dept. Statistics, Univ. California, Berkeley.
    • (2003) Technical Report , vol.649
    • Wainwright, M.J.1    Jordan, M.I.2
  • 40
    • 4043061881 scopus 로고    scopus 로고
    • Semidefinite relaxations for approximate inference on graphs with cycles
    • MIT Press, Cambridge, MA
    • WAINWRIGHT, M. J. and JORDAN, M. I. (2004). Semidefinite relaxations for approximate inference on graphs with cycles. In Advances in Neural Information Processing Systems 16. MIT Press, Cambridge, MA.
    • (2004) Advances in Neural Information Processing Systems , vol.16
    • Wainwright, M.J.1    Jordan, M.I.2
  • 41
    • 84898975095 scopus 로고    scopus 로고
    • Generalized belief propagation
    • T. Leen, T. Dietterich and V. Tresp, eds. MIT Press, Cambridge, MA
    • YEDIDIA, J., FREEMAN, W. and WEISS, Y. (2001). Generalized belief propagation. In Advances in Neural Information Processing Systems (T. Leen, T. Dietterich and V. Tresp, eds.) 13 689-695. MIT Press, Cambridge, MA.
    • (2001) Advances in Neural Information Processing Systems , vol.13 , pp. 689-695
    • Yedidia, J.1    Freeman, W.2    Weiss, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.