## Graphical Models |

**Some relevant publications:**

- Silva, R. Chu, W. and Ghahramani, Z. (2008). Hidden common cause
relations in relational learning. In Advances on Neural Information Processing
Systems
**(NIPS-2007)**. - Zhang, J., Ghahramani, Z, and Yang, Y. (2008) Flexible latent
variable models for multi-task learning.
**Machine Learning**. - Pérez-Cruz, F. Ghahramani, Z. and Pontil, M. (2007) .

Conditional Graphical Models.

In**Predicting Structured Data**, Edited by G. H. Bakir, T. Hofmann, B. Schölkopf, A. J. Smola, B. Taskar and S. V. N. Vishwanathan, MIT Press, September. - Silva, R. and Ghahramani, Z. (2006)

Bayesian Inference for Gaussian Mixed Graph Models.

In Uncertainty in Artificial Intelligence**(UAI-2006)**. - Wood, F., Griffiths, T.L. and Ghahramani, Z. (2006)

A Non-Parametric Bayesian Method for Inferring Hidden Causes.

In Uncertainty in Artificial Intelligence**(UAI-2006)**pp. 536-543. - Beal, M.J. and Ghahramani, Z. (2006)

Variational Bayesian learning of directed graphical models with hidden variables.

**Bayesian Analysis 1**:793--832. - Chu, W. Ghahramani, Z. and Wild D.L. (2004)

A Graphical Model for Protein Secondary Structure Prediction.

In Proceedings of the Twenty-First International Conference on Machine Learning**(ICML-2004)**. Morgan-Kaufmann, pp. 161-168. - Murray, I. and Ghahramani, Z. (2004)

Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms.

In*Uncertainty in Artificial Intelligence***(UAI-2004)**. - Ghahramani, Z. (2002)

Graphical models: parameter learning.

In Arbib, M. A. (ed.) Handbook of Brain Theory and Neural Networks, Second Edition. MIT Press. -
Beal, M. J. and Ghahramani, Z. (2002)

The Variational Bayesian EM Algorithm for Incomplete Data: with Application to Scoring Graphical Model Structures [pdf] [abstract]

In**Bayesian Statistics 7** - Ghahramani, Z. and Beal, M.J. (2001)

Propagation algorithms for variational Bayesian learning [ps] [pdf] [abstract]

In Leen, T.K., Dietterich, T.G., and Tresp, V. (eds)**Neural Information Processing Systems 13**:507-513. MIT Press. - Ghahramani, Z. (2001)

An Introduction to Hidden Markov Models and Bayesian Networks [ps] [pdf]

**International Journal of Pattern Recognition and Artificial Intelligence 15**(1):9-42. - Ghahramani, Z. and
Beal, M.J. (2000)

Graphical models and variational methods

In Saad & Opper (eds)**Advanced Mean Field Method---Theory and Practice.**MIT Press -
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.