
Riggelsen, C. (2006, October 23). Approximation Methods for Efficient Learning of Bayesian Networks. UU Universiteit Utrecht ( Febodruk B.V.). Prom./coprom.: prof. dr. A.P.J.M. Siebes & dr. A.J. Feelders. Riggelsen, C. (2006). Learning Bayesian Networks from Incomplete Data: An Efficient Method for Generating Approximate Predictive Distributions. In Proceedings of the 6th SIAM Intl. Conf. on Data Mining. SIAM. Riggelsen, C. (2006). Learning Parameters of Bayesian Networks from Incomplete Data via Importance Sampling. ijar, 42, 69-83. Riggelsen, C. & Feelders, A.J. (2005). Learning Bayesian Network Models from Incomplete Data using Importance Sampling. In Z. Ghahramani & R. Cowell (Eds.), Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics (pp. 301-308). Society for Artificial Intellligence and Statistics. Riggelsen, C. (Ed.). (2005). MCMC Learning of Bayesian Network Models by Markov Blanket Decomposition (Lecture Notes in Computer Science, 3720). Springer. Riggelsen, C. (2004). Learning Bayesian Network Parameters from Incomplete Data using Importance Sampling. In P. Lucas (Ed.), Proceedings of the 2nd European Workshop on Probabilistic Graphical Models.