Christian R. Shelton

Uri Nodelman, Christian R. Shelton, Daphne Koller: Continuous Time Bayesian Networks. CoRR abs/1301.0591 (2013)

Christian R. Shelton: Reinforcement Learning with Partially Known World Dynamics. CoRR abs/1301.0601 (2013)

Christian R. Shelton: Policy Improvement for POMDPs Using Normalized Importance Sampling. CoRR abs/1301.2310 (2013)

Pamela Bhattacharya, Iulian Neamtiu, Christian R. Shelton: Automated, highly-accurate, bug assignment using machine learning and tossing graphs. Journal of Systems and Software 85(10): 2275-2292 (2012)

Zhen Qin, Christian R. Shelton: Improving multi-target tracking via social grouping. CVPR 2012: 1972-1978

Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Christian R. Shelton: Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval. ICIP 2012: 1941-1944

E. Busra Celikkaya, Christian R. Shelton, William Lam: Factored Filtering of Continuous-Time Systems. CoRR abs/1202.3703 (2012)

Yu Fan, Christian R. Shelton: Learning Continuous-Time Social Network Dynamics. CoRR abs/1205.2648 (2012)

Uri Nodelman, Daphne Koller, Christian R. Shelton: Expectation Propagation for Continuous Time Bayesian Networks. CoRR abs/1207.1401 (2012)

Uri Nodelman, Christian R. Shelton, Daphne Koller: Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. CoRR abs/1207.1402 (2012)

Uri Nodelman, Christian R. Shelton, Daphne Koller: Learning Continuous Time Bayesian Networks. CoRR abs/1212.2498 (2012)

Robert A. Hanneman, Christian R. Shelton: Applying modality and equivalence concepts to pattern finding in social process-produced data. Social Netw. Analys. Mining 1(1): 59-72 (2011)

Teddy N. Yap Jr., Mingyang Li, Anastasios I. Mourikis, Christian R. Shelton: A particle filter for monocular vision-aided odometry. ICRA 2011: 5663-5669

E. Busra Celikkaya, Christian R. Shelton, William Lam: Factored Filtering of Continuous-Time Systems. UAI 2011: 61-68

Ben Blum, Daphne Koller, Christian R. Shelton: A Continuation Method for Nash Equilibria in Structured Games. CoRR abs/1110.5886 (2011)

Kevin Horan, Christian R. Shelton, Thomas Girke: Predicting conserved protein motifs with Sub-HMMs. BMC Bioinformatics 11: 205 (2010)

Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christian R. Shelton: Annotating Historical Archives of Images. IJDLS 1(2): 59-80 (2010)

Jing Xu, Christian R. Shelton: Intrusion Detection using Continuous Time Bayesian Networks. J. Artif. Intell. Res. (JAIR) 39: 745-774 (2010)

Christian R. Shelton, Yu Fan, William Lam, Joon Lee, Jing Xu: Continuous Time Bayesian Network Reasoning and Learning Engine. Journal of Machine Learning Research 11: 1137-1140 (2010)

Yu Fan, Jing Xu, Christian R. Shelton: Importance Sampling for Continuous Time Bayesian Networks. Journal of Machine Learning Research 11: 2115-2140 (2010)

Antony Lam, Amit K. Roy Chowdhury, Christian R. Shelton: Interactive Event Search through Transfer Learning. ACCV (3) 2010: 157-170

Adriano Macchietto, Victor B. Zordan, Christian R. Shelton: Momentum control for balance. ACM Trans. Graph. 28(3) (2009)

Teddy N. Yap Jr., Christian R. Shelton: SLAM in large indoor environments with low-cost, noisy, and sparse sonars. ICRA 2009: 1395-1401

Yu Fan, Christian R. Shelton: Learning Continuous-Time Social Network Dynamics. UAI 2009: 161-168

Antony Lam, Christian R. Shelton: Face recognition and alignment using support vector machines. FG 2008: 1-6

Guobiao Mei, Christian R. Shelton: Unsupervised image embedding using nonparametric statistics. ICPR 2008: 1-4

Teddy N. Yap Jr., Christian R. Shelton: Simultaneous learning of motion and sensor model parameters for mobile robots. ICRA 2008: 2091-2097

Yu Fan, Christian R. Shelton: Sampling for Approximate Inference in Continuous Time Bayesian Networks. ISAIM 2008

Kin Fai Kan, Christian R. Shelton: Solving Structured Continuous-Time Markov Decision Processes. ISAIM 2008

Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christian R. Shelton: Annotating historical archives of images. JCDL 2008: 341-350

Kin Fai Kan, Christian R. Shelton: Catenary Support Vector Machines. ECML/PKDD (1) 2008: 597-610

Jing Xu, Christian R. Shelton: Continuous Time Bayesian Networks for Host Level Network Intrusion Detection. ECML/PKDD (2) 2008: 613-627

Titus Winters, Christian R. Shelton, Tom Payne: Investigating Generative Factors of Score Matrices. AIED 2007: 479-486

Charles Lee Isbell Jr., Michael J. Kearns, Satinder P. Singh, Christian R. Shelton, Peter Stone, David P. Kormann: Cobot in LambdaMOO: An Adaptive Social Statistics Agent. Autonomous Agents and Multi-Agent Systems 13(3): 327-354 (2006)

Ben Blum, Christian R. Shelton, Daphne Koller: A Continuation Method for Nash Equilibria in Structured Games. J. Artif. Intell. Res. (JAIR) 25: 457-502 (2006)

Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton, Li Wei, Chotirat Ann Ratanamahatana: Fast time series classification using numerosity reduction. ICML 2006: 1033-1040

Christian R. Shelton, Wesley Huie, Kin Fai Kan: Chained Boosting. NIPS 2006: 1281-1288

Uri Nodelman, Daphne Koller, Christian R. Shelton: Expectation Propagation for Continuous Time Bayesian Networks. UAI 2005: 431-440

Uri Nodelman, Christian R. Shelton, Daphne Koller: Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks. UAI 2005

Ben Blum, Christian R. Shelton, Daphne Koller: A Continuation Method for Nash Equilibria in Structured Games. IJCAI 2003: 757-764

Uri Nodelman, Christian R. Shelton, Daphne Koller: Learning Continuous Time Bayesian Networks. UAI 2003: 451-458

Leonid Peshkin, Christian R. Shelton: Learning from Scarce Experience. ICML 2002: 498-505

Uri Nodelman, Christian R. Shelton, Daphne Koller: Continuous Time Bayesian Networks. UAI 2002: 378-387

Christian R. Shelton: Reinforcement Learning with Partially Known World Dynamics. UAI 2002: 461-468

Leonid Peshkin, Christian R. Shelton: Learning from Scarce Experience. CoRR cs.AI/0204043 (2002)

Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder P. Singh, Peter Stone: A social reinforcement learning agent. Agents 2001: 377-384

Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder P. Singh, Peter Stone: Cobot: A Social Reinforcement Learning Agent. NIPS 2001: 1393-1400

Christian R. Shelton: Policy Improvement for POMDPs Using Normalized Importance Sampling. UAI 2001: 496-503

Christian R. Shelton: Morphable Surface Models. International Journal of Computer Vision 38(1): 75-91 (2000)

Christian R. Shelton: Balancing Multiple Sources of Reward in Reinforcement Learning. NIPS 2000: 1082-1088

Tomaso Poggio, Christian R. Shelton: Machine Learning, Machine Vision, and the Brain. AI Magazine 20(3): 37-55 (1999)

Paul W. Finn, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian R. Shelton, Suresh Venkatasubramanian, Andrew Chi-Chih Yao: RAPID: Randomized pharmacophore identification for drug design. Comput. Geom. 10(4): 263-272 (1998)

Dan Halperin, Christian R. Shelton: A perturbation scheme for spherical arrangements with application to molecular modeling. Comput. Geom. 10(4): 273-287 (1998)

Dan Halperin, Christian R. Shelton: A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling. Symposium on Computational Geometry 1997: 183-192

Paul W. Finn, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian R. Shelton, Suresh Venkatasubramanian, Andrew Chi-Chih Yao: RAPID: Randomized Pharmacophore Identification for Drug Design. Symposium on Computational Geometry 1997: 324-333

Paul W. Finn, Dan Halperin, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian R. Shelton, Suresh Venkatasubramanian: Geometric Manipulation of Flexible Ligands. WACG 1996: 67-78