Publications in Category "PhD Thesis"
| 1. | J. Wright. "Modeling human behavior in strategic settings". PhD Thesis, August 2016.  |
| 2. | F. Allen. "Competitive Fragmentation Modeling of Mass Spectra for Metabolite Identification". PhD Thesis, January 2016.  |
| 3. | S. Khan. "The Budgeted Biomarker Discovery Problem". PhD Thesis, June 2015. |
| 4. | S. Ravanbakhsh. "Message Passing and Combinatorial Optimization". PhD Thesis, January 2015. |
| 5. | M. Hajiloo. "Assessing the Feasibility of Learning Biomedical Phenotype Patterns Using High-Throughput Omics Profiles". PhD Thesis, January 2014. |
| 6. | S. Vaisipour. "Detecting, correcting, and preventing the batch effects in multi-site data, with a focus on gene expression Microarrays". PhD Thesis, January 2014. |
| 7. | D. Silver. "Reinforcement Learning and Simulation-Based Search in Computer Go". PhD Thesis, October 2009. |
| 8. | C. Lee. "Modeling Spatial Correlations for Effective Discriminative Classifiers". PhD Thesis, January 2009. |
| 9. | I. Levner. "Data Driven Object Segmentation". PhD Thesis, November 2008. |
| 10. | D. Lizotte. "Practical Bayesian Optimization". PhD Thesis, University of Alberta, July 2008. |
| 11. | Q. Wang. "Learning Structured Classifiers for Statistical Dependency Parsing". PhD Thesis, University of Alberta, June 2008. |
| 12. | A. Milstein. "Improved Particle Filter Based Localization and Mapping Techniques". PhD Thesis, University of Waterloo, May 2008. |
| 13. | F. Jiao. "Probabilistic Graphical Models and Algorithms for Protein Problems". PhD Thesis, University of Waterloo, May 2008. |
| 14. | D. Wilkinson. "Subjective Mapping". PhD Thesis, University of Waterloo, December 2007. |
| 15. | Y. Guo. "Learning Bayesian Networks from Data: Structure Optimization and Parameter Estimation". PhD Thesis, University of Alberta, September 2007. |
| 16. | T. Wang. "New Representations and Approximations for Sequential Decision Making Under Uncertainty". PhD Thesis, University of Alberta, August 2007. |
| 17. | J. Huang. "Learning from Partially Labeled Data: Unsupervised and Semi-supervised Learning on Graphs and Learning with Distribution Shifting". PhD Thesis, University of Waterloo, June 2007. |
| 18. | L. Xu. "Convex Large Margin Training Techniques for Unsupervised, Semi-supervised, and Robust Support Vector Machines". PhD Thesis, University of Waterloo, May 2007. |
| 19. | A. Ghodsi. "Non-linear Dimensionality Reduction with Side Information". PhD Thesis, University of Waterloo, November 2005. |
| 20. | M. Bowling. "Multiagent learning in the presence of agents with limitations". PhD Thesis, Carnegie Mellon University, May 2003. |
