Publications with keyword "Belief Net"
| 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. | P. Hooper, Y. Abbasi-Yadkori, R. Greiner, B. Hoehn. "Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling". Conference on Uncertainty in Artificial Intelligence (UAI), June 2009. |
| 3. | 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. |
| 4. | 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. |
| 5. | O. Schulte, W. Luo, R. Greiner. "Mind Change Optimal Learning of Bayes Net Structure". Conference on Learning Theory (COLT), San Diego, CA, June 2007. |
| 6. | C. Lee, R. Greiner, S. Wang. "Using Query-Specific Variance Estimates to Combine Bayesian Classifiers". International Conference on Machine Learning (ICML), Pittsburgh, June 2006. |
| 7. | Y. Guo, R. Greiner. "Discriminative Model Selection for Belief Net Structures". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 770-776, July 2005. |
| 8. | 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. |
| 9. | J. Newton, R. Greiner. "Hierarchical Probabilistic Relational Models for Collaborative Filtering". SRL2004: Statistical Relational Learning and its Connections to Other Fields, July 2004. |
| 10. | 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. |
| 11. | 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.  |
| 12. | 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. |
| 13. | 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. |
| 14. | J. Cheng, R. Greiner. "Learning Bayesian Belief Network Classifiers: Algorithms and System". Canadian Conference on Artificial Intelligence (CAI), Ottawa, Canada, May 2001. |
| 15. | 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. |
| 16. | R. Greiner, C. Darken. "Determining whether a Belief Net is Consistent with Auxiliary Information". Conditional Independence Structures and Graphical Models, Toronto, September 1999. |
| 17. | R. Greiner, W. Zhou. "Learning Accurate Belief Nets using Explicitly-Labeled Queries". Conditional Independence Structures and Graphical Models, Toronto, September 1999. |
| 18. | R. Greiner, A. Grove, D. Schuurmans. "Learning Bayesian Nets that Perform Well". Conference on Uncertainty in Artificial Intelligence (UAI), Providence, Rhode Island, August 1997. |
