Nong Ye wrote:

> I am interested in work and literature on the incremental learning of
> Bayesian networks.

Here is my short bib-list of papers on that topic; several of them are
also in the references section of  Moises Goldszmidt's UAI97 paper he
mentioned earlier.

    Alex Bronstein
    HP Labs, Palo Alto, CA
--------------
Reference List

 1.  Bauer, E., Koller, D., & Singer, Y. (1997). Update rules for
parameter estimation in Bayesian networks. In Geiger, Dan and Shenoy,
Prakash (eds.), Proceedings of the 13th Annual Conference on Uncertainty
in Artificial Intelligence UAI-97, Providence, RI, August 1-3, 1997.
(pp. 3-13). San Mateo, CA: Morgan Kaufmann.

 2.  Boyen, X., & Koller, D. (1999). Approximate learning of dynamic
models. In Kearns, M. S., Solla, S. A., and Cohn, D. A. (eds.),
Proceedings of Neural Information Processing Systems NIPS-98, Denver,
CO, November 1998. Vol. 11 Cambridge, MA: MIT Press.

 3.  Elkan, Charles. (1997). Boosting and Naive Bayesian Learning.
(Report No. CS97-557). San Diego, CA: Dept of CS&E.

 4.  Friedman, N., & Goldszmidt, M. (1997). Sequential update of
Bayesian network structure. In Geiger, Dan and Shenoy, Prakash (eds.),
Proceedings of the 13th Annual Conference on Uncertainty in Artificial
Intelligence UAI-97, Providence, RI, August 1-3, 1997. San Mateo, CA:
Morgan Kaufmann.

 5.  Heckerman, David. (1995). A Tutorial on Learning With Bayesian
Networks. (Report No. MSR-TR-95-06). Redmond, WA: Microsoft Research.

 6.  Olesen, K. G., Lauritzen, S. L., & Jensen, F. V. (1992). aHUGIN: a
system creating adaptive causal probabilistic networks. In Dubois,
Didier, Wellman, Michael P., D'Ambrosio, Bruce, and Smets, Phillipe
(eds.), Proceedings of the 8th Annual Conference on Uncertainty in
Artificial Intelligence UAI-92, Stanford University, CA, July 17-19,
1992. (pp. 223-229). San Mateo, CA: Morgan Kaufmann.

 7.  Ramachandran, S., & Mooney, R. J. (1998). Theory refinement for
Bayesian networks with hidden variables. In Proceedings of the 15th
International Conference on Machine Learning ICML-98, Madison, WI, July
24-27, 1998. (pp. 454-462). San Mateo, CA: Morgan Kaufmann.

 8.  Spiegelhalter, D. J., & Lauritzen, S. L. (1990). Sequential
updating of conditional probabilities on directed graphical structures.
Networks, 20, 579-605.

Reply via email to