Academic Papers by Christian R. Shelton

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2008
Guobiao Mei and Christian R. Shelton (2008). "Unsupervised Image Embedding Using Nonparametric Statistics." International Conference on Pattern Recognition. to appear. bib/abs pdf ps ps.gz
Antony Lam and Christian R. Shelton (2008). "Face Recognition and Alignment using Support Vector Machines." Automatic Face and Gesture Recognition. to appear. bib/abs pdf ps  
Kin Fai Kan and Christian R. Shelton (2008). "Catenary Support Vector Machines." European Conference on Machine Learning. to appear, © Springer-Verlag. bib/abs pdf ps  
Jing Xu and Christian R. Shelton (2008). "Continuous Time Bayesian Networks for Host Level Network Intrusion Detection." European Conference on Machine Learning. to appear, © Springer-Verlag. bib/abs pdf ps  
Kevin Horan, Charles Jang, Julie Bailey-Serres, Ron Mittler, Christian Shelton, Jeff F Harper, Jian-Kang Zhu, John JC Cushman, Martin Gollery, and Thomas Girke (2008). "Annotating Genes of Known and Unknown Function by Large-Scale Co-Expression Analysis." Plant Physiology, 147(1), 41-57. bib/abs pdf    
Xiaoyue Wang, Lexiang Ye, Eamonn Keogh, and Christian Shelton (2008). "Annotating Historical Archives of Images." Joint Conference on Digital Libraries (pp. 341-350). bib/abs pdf    
Teddy N. Yap, Jr. and Christian R. Shelton (2008). "Simultaneous Learning of Motion and Sensor Model Parameters for Mobile Robots." Proceedings of the IEEE International Conference on Robotics and Automation (pp. 2091-2097). bib/abs pdf ps ps.gz
Yu Fan and Christian R. Shelton (2008). "Sampling for Approximate Inference in Continuous Time Bayesian Networks." Tenth International Symposium on Artificial Intelligence and Mathematics. bib/abs pdf ps  
Kin Fai Kan and Christian R. Shelton (2008). "Solving Structured Continuous-Time Markov Decision Processes." Tenth International Symposium on Artificial Intelligence and Mathematics. bib/abs pdf ps  
 
2007
Titus Winters, Christian R. Shelton, and Tom Payne (2007). "Investigating Generative Factors of Score Matrices." Thirteenth International Conference on Artificial Intelligence in Education (pp. 479-486). bib/abs pdf    
Christian R. Shelton, Wesley Huie, and Kin Fai Kan (2007). "Chained Boosting." Advances in Neural Information Processing Systems 19 (pp. 1281-1288). bib/abs pdf ps  
 
2006
Guobiao Mei and Christian R. Shelton (2006). "Visualization of Collaborative Data." Proceedings of the Twenty-Second International Conference on Uncertainty in Artificial Intelligence (pp. 341-348). bib/abs pdf ps  
Ben Blum, Christian R. Shelton, and Daphne Koller (2006). "A Continuation Method for Nash Equilibria in Structured Games." Journal of Artificial Intelligence Research, 25, 457-502. bib/abs pdf ps  
Xiaopeng Xi, Eamonn Keogh, Christian Shelton, Li Wei, and Chotirat Ann Ratanamahatana (2006). "Fast Time Series Classification using Numerosity Reduction." Proceedings of the Twenty-Third International Conference on Machine Learning (pp. 1033-1040). bib/abs pdf    
Charles Lee Isbell, Jr., Michael Kearns, Satinder Singh, Christian R. Shelton, Peter Stone, and Dave Kormann (2006). "Cobot in LambdaMOO: An Adaptive Social Statistics Agent." Autonomous Agents and Multi-Agent Systems, 13(3), 327-354. bib/abs pdf    
 
2005
Uri Nodelman, Christian R. Shelton, and Daphne Koller (2005). "Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks." Proceedings of the Twenty-First International Conference on Uncertainty in Artificial Intelligence (pp. 421-430). bib/abs pdf    
Uri Nodelman, Daphne Koller, and Christian R. Shelton (2005). "Expectation Propagation for Continuous Time Bayesian Networks." Proceedings of the Twenty-First International Conference on Uncertainty in Artificial Intelligence (pp. 431-440). bib/abs pdf    
 
2003
Uri Nodelman, Christian R. Shelton, and Daphne Koller (2003). "Learning Continuous Time Bayesian Networks." Proceedings of the Nineteenth International Conference on Uncertainty in Artificial Intelligence (pp. 451-458). [version here corrects error in Bayesian score formula]. bib/abs pdf ps ps.gz
Ben Blum, Christian R. Shelton, and Daphne Koller (2003). "A Continuation Method for Nash Equilibria in Structured Games." Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (pp. 757-764). bib/abs pdf ps ps.gz
 
2002
Uri Nodelman, Christian R. Shelton, and Daphne Koller (2002). "Continuous Time Bayesian Networks." Proceedings of the Eighteenth International Conference on Uncertainty in Artificial Intelligence (pp. 378-387). [version here corrects minor errors]. bib/abs pdf ps ps.gz
Adlar J. Kim, Christian R. Shelton, and Tomaso Poggio (2002). "Modeling Stock Order Flows and Learning Market-Making from Data." Technical report. MIT AI Lab, AI Memo 2002-009. bib/abs pdf ps  
Christian R. Shelton (2002). "Reinforcement Learning with Partially Known World Dynamics." Proceedings of the Eighteenth International Conference on Uncertainty in Artificial Intelligence (pp. 461-468). bib/abs pdf ps ps.gz
Leonid Peshkin and Christian R. Shelton (2002). "Learning from Scarce Experience." Proceedings of the Nineteenth International Conference on Machine Learning (pp. 498-505). bib/abs pdf ps ps.gz
Charles L. Isbell, Christian R. Shelton, Michael Kearns, Satinder Singh, and Peter Stone (2002). "Cobot: A Social Reinforcement Learning Agent." Advances in Neural Information Processing Systems 2001 (pp. 1393-1400). bib/abs      
 
2001
Christian Robert Shelton (2001). Importance Sampling for Reinforcement Learning with Multiple Objectives. Doctoral dissertation, Massachusetts Institute of Technology. bib/abs pdf ps ps.gz
    Christian Robert Shelton (2001). "Importance Sampling for Reinforcement Learning with Multiple Objectives." Technical report. MIT AI Lab, AI Memo 2001-003. bib/abs pdf ps ps.gz
Christian R. Shelton (2001). "Policy Improvement for POMDPs Using Normalized Importance Sampling." Proceedings of the Seventeenth International Conference on Uncertainty in Artificial Intelligence (pp. 496-503). bib/abs pdf ps ps.gz
    Christian R. Shelton (2001). "Policy Improvement for POMDPs Using Normalized Importance Sampling." Technical report. MIT AI Lab, AI Memo 2001-002. bib/abs pdf ps ps.gz
    Christian R. Shelton (2001). "Importance Sampling Estimate for Policies with Memory." presented at ICML 2001 workshop. bib/abs pdf ps ps.gz
Nicholas T. Chan and Christian R. Shelton (2001). "An Electronic Market-Maker." Seventh International Conference of the Society for Computational Economics. bib/abs      
    Nicholas T. Chan and Christian R. Shelton (2001). "An Electronic Market-Maker." Technical report. MIT AI Lab, AI Memo 2001-005. bib/abs pdf ps ps.gz
Charles L. Isbell, Christian R. Shelton, Michael Kearns, Satinder Singh, and Peter Stone (2001). "A Social Reinforcement Learning Agent." Fifth International Conference on Autonomous Agents (pp. 377-384). best paper award. bib/abs pdf ps ps.gz
Christian R. Shelton (2001). "Balancing Multiple Sources of Reward in Reinforcement Learning." Advances in Neural Information Processing Systems 2000 (pp. 1082-1088). bib/abs pdf ps ps.gz
 
2000
Christian R. Shelton (2000). "Morphable Surface Models." International Journal of Computer Vision, 38(1), 75-91. bib/abs pdf ps ps.gz
Tomaso Poggio and Christian R. Shelton (2000). "Learning in brains and machines." Spatial Vision, 13(2,3), 287-296. bib/abs pdf    
 
1999
Tomaso Poggio and Christian R. Shelton (1999). "Machine Learning, Machine Vision, and the Brain." AI Magazine, 20(3), 37-55. bib/abs pdf ps ps.gz
 
1998
Christian Robert Shelton (1998). Three-Dimensional Correspondence. Masters thesis, Massachusetts Institute of Technology. bib/abs pdf ps ps.gz
    Christian Robert Shelton (1998). "Three-Dimensional Correspondence." Technical report. MIT AI Lab, 1650. bib/abs pdf ps ps.gz
Dan Halperin and Christian R. Shelton (1998). "A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling." Computational Geometry: Theory and Applications, 10(4), 273-288. bib/abs      
    Dan Halperin and Christian R. Shelton (1998). "A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling." Technical report. MIT AI Lab, AI Memo 1618. bib/abs   ps ps.gz
P. W. Finn, L. E. Kavraki, J.-C. Latombe, R. Motwani, C. Shelton, S. Venkatasubramanian, and A. Yao (1998). "RAPID: Randomized Pharmacophore Identification for Drug Design." Computational Geometry: Theory and Applications, 10(4). bib/abs   ps ps.gz
 
1997
Dan Halperin and Christian R. Shelton (1997). "A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling." Proceedings of the Thirteenth Symposium on Computational Geometry (pp. 183-192). bib/abs   ps ps.gz
P. W. Finn, L. E. Kavraki, J.-C. Latombe, R. Motwani, C. Shelton, S. Venkatasubramanian, and A. Yao (1997). "RAPID: Randomized Pharmacophore Identification for Drug Design." Proceedings of the Thirteenth Symposium on Computational Geometry (pp. 324-333). bib/abs   ps ps.gz
 
1996
Paul W. Finn, Dan Halperin, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian Shelton, and Suresh Venkatasubramanian (1996). "Geometric Manipulation of Flexible Ligands." In M. C. Lin and D. Manocha, editors, Applied Computational Geometry: Towards Geometric Engineering (pp. 67-78). papers from the ACM Workshop on Applied Computational Geometry 1996. bib/abs   ps ps.gz