Publications with keyword "Bayesian"
| 1. | D. Goldstein, R. McAfee, S. Suri, J. Wright. "Learning When to Stop Searching". Management Science, pp 1-20, August 2019.  |
| 2. | L. Li, B. Poczos, C. Szepesvari, R. Greiner. "Budgeted Distribution Learning of Belief Net Parameters". International Conference on Machine Learning (ICML), June 2010.  |
| 3. | O. Schulte, G. Frigo, H. Khosravi, R. Greiner. "The IMAP Hybrid Method for Learning Gaussian Bayes Nets". Canadian Conference on Artificial Intelligence (CAI), April 2010. |
| 4. | O. Schulte, W. Luo, R. Greiner. "Mind Change Optimal Learning of Bayes Net Structure from Dependency and Independency Data". Information and Computation, 208(1), pp 63--82, March 2010. |
| 5. | D. Lizotte. "Practical Bayesian Optimization". PhD Thesis, University of Alberta, July 2008. |
| 6. | N. Bard. "Using State Estimation for Dynamic Agent Modelling". MSc Thesis, University of Alberta, March 2008. |
| 7. | T. Van Allen, A. Singh, R. Greiner, P. Hooper. "Quantifying the Uncertainty of a Belief Net Response: Bayesian Error-Bars for Belief Net Inference". Artificial Intelligence (AIJ), September 2007. |
| 8. | S. Kirshner, P. Smyth. "Infinite Mixtures of Trees". International Conference on Machine Learning (ICML), June 2007. |
| 9. | O. Schulte, W. Luo, R. Greiner. "Mind Change Optimal Learning of Bayes Net Structure". Conference on Learning Theory (COLT), San Diego, CA, June 2007. |
| 10. | X. Su, T. Khoshgoftaar. "Collaborative Filtering for Multi-class Data Using Belief Nets Algorithms". Fifteenth IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp 497-504, November 2006. |
| 11. | Y. Guo, R. Greiner. "Discriminative Model Selection for Belief Net Structures". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 770-776, July 2005. |
| 12. | Y. Guo, D. Wilkinson, D. Schuurmans. "Maximum Margin Bayesian Networks". Conference on Uncertainty in Artificial Intelligence (UAI), Edinburgh, Scotland, January 2005. |
| 13. | B. Shen, X. Su, R. Greiner, P. Musilek, C. Cheng. "Discriminative Parameter Learning of General Bayesian Network Classifiers". Fifteenth IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Sacramento, California, November 2003. |
| 14. | J. Cheng, R. Greiner. "Learning Bayesian Belief Network Classifiers: Algorithms and System". Canadian Conference on Artificial Intelligence (CAI), Ottawa, Canada, May 2001. |
