Publications

This is the list of papers reporting and describing the results of our research in the Bayesian Knowledge Discovery Project.
  1. M. Ramoni and P. Sebastiani, Robust Learning with Missing Data, Technical Report KMi-TR-28, Knowledge Media Institute, The Open University, July 1996.

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  2. M. Ramoni and P. Sebastiani, Robust Parameter Learning in Bayesian Networks with Missing Data, Technical Report KMi-TR-29, Knowledge Media Institute, The Open University, October 1996. Also in Proceedings of the Sixth Workshop on AI and Statistics, 1997.

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  3. M. Ramoni and P. Sebastiani, Efficient Parameter Learning in Bayesian Networks from Incomplete Databases, Technical Report KMi-TR-41, Knowledge Media Institute, The Open University, January 1997.

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  4. M. Ramoni and P. Sebastiani, Learning Bayesian Networks from Incomplete Databases,  Technical Report KMi-TR-43, Knowledge Media Institute, The Open University, February 1997. Also in Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, Morgan Kaufman, San Mateo, CA, 1997

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  5. M. Ramoni and P. Sebastiani, The Use of Exogenous Knowledge to Learn Bayesian Networks from Incomplete Databases, Technical Report KMi-TR-44, Knowledge Media Institute, The Open University, February 1997. Also in Proceedings of the Second International Symposium on Intelligent Data Analysis, Springer Verlag, New York, NY, 1997.

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  6. M. Ramoni and P. Sebastiani, Discovering Bayesian Networks in Incomplete Databases, Technical Report KMi-TR-46, Knowledge Media Institute, The Open University, March 1997.

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  7. P. Sebastiani and M. Ramoni, Bayesian Inference with Missing Data using Bound and Collapse, KMi Technical Report KMi-TR-59, Knowledge Media Institute, The Open University, December 1997.

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  8. M. Ramoni and P. Sebastiani, Parameter Estimation in Bayesian Networks from Incomplete Databases, Intelligent Data Analysis, 2(1), 1998.

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  9. P. Sebastiani and M. Ramoni, Decision Theoretic Foundations of Graphical Model Selection, Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI98), Madison, WI, 1998.

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  10. P. Sebastiani and M. Ramoni, Induction of Graphical Models from Incomplete Samples, Proceedings of the XIII Conference of the International Association for Statistical Computing (COMPSTAT-98), Bristol, United Kingdom, 1998.

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  11. M. Ramoni and P. Sebastiani, Learning Conditional Probabilities from Incomplete Data: An Experimental Comparison, in Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, Morgan Kaufman, San Mateo, CA, 1999.

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  12. P. Sebastiani and M. Ramoni, Model Folding for Data Subject to Nonresponse, in Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, Morgan Kaufman, San Mateo, CA, 1999.

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  13. P. Sebastiani, M. Ramoni and P. Cohen, Bayesian Clustering of Sensory Inputs by Dynamics, KMi Technical Report KMi-TR-76, Knowledge Media Institute, The Open University, February 1999.

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  14. P. Sebastiani, M. Ramoni, P. Cohen, J. Warwick and J. Davis, Discovering Dynamics using Bayesian Clustering, KMi Technical Report KMi-TR-77, Knowledge Media Institute, The Open University, February 1999.

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  15. M. Ramoni,  P. Sebastiani, P. Cohen, J. Warwick and J. Davis, Bayesian Clustering by Dynamics, KMi Technical Report KMi-TR-78, Knowledge Media Institute, The Open University, February 1999.

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  16. M. Ramoni and P. Sebastiani, An Introduction to the Robust Bayesian Classifier, KMi Technical Report KMi-TR-79, Knowledge Media Institute, The Open University, March 1999.

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