-
3
-
-
84898964031
-
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
-
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
-
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
-
7
-
-
0003687180
-
-
Springer, New York
-
COWELL, R. G., DAWID, A. P., LAURITZEN, S. L. and SPIEGELHALTER, D. J. (1999). Probabilistic Networks and Expert Systems. Springer, New York.
-
(1999)
Probabilistic Networks and Expert Systems
-
-
Cowell, R.G.1
Dawid, A.P.2
Lauritzen, S.L.3
Spiegelhalter, D.J.4
-
8
-
-
0003516147
-
-
Cambridge Univ. Press
-
DURBIN, R., EDDY, S., KROGH, A. and MITCHISON, G. (1998). Biological Sequence Analysis. Cambridge Univ. Press.
-
(1998)
Biological Sequence Analysis
-
-
Durbin, R.1
Eddy, S.2
Krogh, A.3
Mitchison, G.4
-
9
-
-
0015183542
-
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
-
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
-
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
-
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
-
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
-
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
-
-
0033225865
-
An introduction to variational methods for graphical models
-
JORDAN, M. I., GHAHRAMANI, Z., JAAKKOLA, T. S. and SAUL, L. K. (1999). An introduction to variational methods for graphical models. Machine Learning 37 183-233.
-
(1999)
Machine Learning
, vol.37
, pp. 183-233
-
-
Jordan, M.I.1
Ghahramani, Z.2
Jaakkola, T.S.3
Saul, L.K.4
-
20
-
-
0000803318
-
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
-
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
-
28
-
-
4243850312
-
-
Unpublished manuscript
-
RICHARDSON, S., LEBLOND, L., JAUSSENT, I. and GREEN, P. J. (2002). Mixture models in measurement error problems, with reference to epidemiological studies. Unpublished manuscript.
-
(2002)
Mixture Models in Measurement Error Problems, with Reference to Epidemiological Studies
-
-
Richardson, S.1
Leblond, L.2
Jaussent, I.3
Green, P.J.4
-
29
-
-
0035246127
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
|