15_bibliography and webliography.pdf
15_bibliography and webliography.pdf
15_bibliography and webliography.pdf
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Boyen, X., & Koller, D. (1998). Tractable inference for complex stochastic<br />
processes. Proceedings of the Fourteenth Conference on Uncertainty in Artificial<br />
Intelligence (pp. 33–42).<br />
Chickering, D. M., Geiger, D., & Heckerman, D. (1994). Learning Bayesian<br />
Networks is NP-Hard (Technical Report MSR-TR-94-17). Microsoft Research.<br />
Colbry, D., Peintner, B., & Pollack, M. E. (2002). Execution monitoring with<br />
quantitative temporal bayesian networks. Proceedings of the Sixth International<br />
Conference on AI Planning <strong>and</strong> Scheduling.<br />
Dean, T., & Kanazawa, K. (1989). A model for reasoning about persistence <strong>and</strong><br />
causation. Computational Intelligence, 5, 142–<strong>15</strong>0.<br />
Dempster, A., N.M.Laird, & D.B.Rubin (1977). Maximum likelihood from<br />
incomplete data via the EM algorithm. Journal of the Royal Statistical Society,<br />
Series B, 39, 1–38.<br />
Duffie, D., Schroder, M., & Skiadas, C. (1996). Recursive valuation of<br />
defaultable securities <strong>and</strong> the timing of resolution of uncertainty. The Annals of<br />
Applied Probability, 6, 1075–1090.<br />
Durbin, R., Eddy, S., Krogh, A., & Mitchison, G. (1998). Biological sequence<br />
analysis: Probabilistic models of proteins <strong>and</strong> nucleic acids. Cambridge<br />
University Press.<br />
Economic <strong>and</strong> Social Research Council (ESRC) Research Centre on Micro-social<br />
Change (2003). British household panel survey. Computer Data File <strong>and</strong><br />
Associated Documentation. http://iserwww.essex.ac.uk/bhps. Colchester: The<br />
Data Archive.<br />
El-Hay, T., Friedman, N., Koller, D., & Kupferman, R. (2006). Continuous time<br />
markov networks. Proceedings of the Twenty-second Conference on Uncertainty<br />
in AI (UAI). Boston, Massachussetts.<br />
Friedman, N. (1997). Learning belief networks in the presence of missing values<br />
<strong>and</strong> hidden variables. ICML ’97: Proceedings of the Fourteenth International<br />
[ 53 ]