Publications with keyword "Belief Nets"
| 1. | 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.   |
| 2. | X. Su, R. Greiner, T. Khoshgoftaar, X. Zhu. "Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts". IEEE/WIC/ACM International Conference on Web Intelligence, pp 645-649, November 2007. |
| 3. | O. Schulte, W. Luo, R. Greiner. "Mind Change Optimal Learning of Bayes Net Structure". Conference on Learning Theory (COLT), San Diego, CA, June 2007. |
| 4. | Y. Guo, R. Greiner. "Discriminative Model Selection for Belief Net Structures". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 770-776, July 2005. |
| 5. | R. Greiner, X. Su, B. Shen, W. Zhou. "Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers". Machine Learning Journal (MLJ), (ed: P. Larranaga, J.A. Lozano, J.M. Pena, I. Inza), 59(3), pp 297--322, June 2005. |
| 6. | 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. |
| 7. | R. Greiner, W. Zhou. "Structural Extension to Logistic Regression: Discriminant Parameter Learning of Belief Net Classifiers". National Conference on Artificial Intelligence (AAAI), Edmonton Alberta, August 2002.  |
| 8. | J. Cheng, R. Greiner, J. Kelly, D. Bell, W. Liu. "Learning Bayesian Networks from Data: An Information-Theory Based Approach". Artificial Intelligence (AIJ), 137(1-2), pp 43--90, January 2002. |
| 9. | T. Van Allen, R. Greiner, P. Hooper. "Bayesian Error-Bars for Belief Net Inference". Conference on Uncertainty in Artificial Intelligence (UAI), Seattle, Washington, USA, August 2001. |
| 10. | J. Cheng, R. Greiner. "Learning Bayesian Belief Network Classifiers: Algorithms and System". Canadian Conference on Artificial Intelligence (CAI), Ottawa, Canada, May 2001. |
| 11. | T. Van Allen, R. Greiner. "A Model Selection Criteria for Learning Belief Nets: An Empirical Comparison". International Conference on Machine Learning (ICML), Stanford University, July 2000. |
| 12. | R. Greiner, W. Zhou. "Learning Accurate Belief Nets using Explicitly-Labeled Queries". Conditional Independence Structures and Graphical Models, Toronto, September 1999. |
| 13. | R. Greiner, A. Grove, D. Schuurmans. "Learning Bayesian Nets that Perform Well". Conference on Uncertainty in Artificial Intelligence (UAI), Providence, Rhode Island, August 1997. |
