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Jeff Schneider
Assoc. Research Professor

Email address: schneide@cs.cmu.edu

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

For more information, see my personal homepage.

Jump to: Research interests | Keywords | Labs & groups | Projects | Publications

My research is in active learning, data mining,reinforcement learning, optimization, and intelligent control. My efforts are focused on the application of these methods to real world industrial and commercial problems.

This section last updated - August 2006.

artificial intelligence and machine learning

• Auton Lab - We build practical large-scale deployments of very highly autonomous self-improving systems.

• Intelligent Diabetes Assistant - We are working to create an intelligent assistant to help patients and clinicians work together to manage diabetes at a personal and social level. This project uses machine learning to predict the effect that patient specific behaviors have on blood glucose.

• Alias Detection in Link Data Sets
  P. Hsiung, A. Moore, D. Neill, and J. Schneider
  Proceedings of the International Conference on Intelligence Analysis, International Conference on Intelligence Analysis, May, 2005. [Abstract]

• Automatic Construction of Active Appearance Models as an Image Coding Problem
  S. Baker, I. Matthews, and J. Schneider
  IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 10, October, 2004, pp. 1380 - 1384. [Abstract]
  Download: pdf [212 KB] copyrighted

• Semantic based Biomedical Image Indexing and Retrieval
  Y. Liu, N. Lazar, W.E. Rothfus, F. Dellaert, A. Moore, J. Schneider, and T. Kanade
  Trends and Advances in Content-Based Image and Video Retrieval, Shapiro, Kriegel, and Veltkamp, ed., February, 2004. [Abstract]
  Download: pdf [1371 KB] copyrighted

• Policy Search by Dynamic Programming
  J. Bagnell, S. Kakade, A. Ng, and J. Schneider
  Neural Information Processing Systems, MIT Press, Vol. 16, December, 2003. [Abstract]
  Download: pdf [157 KB], ps.gz [73 KB] copyrighted

• Policy Search in Reproducing Kernel Hilbert Space
  J. Bagnell and J. Schneider
  tech. report CMU-RI-TR-03-45, Robotics Institute, Carnegie Mellon University, November, 2003. [Abstract]
  Download: pdf [351 KB], ps.gz [269 KB] copyrighted

• Tractable Group Detection on Large Link Data Sets
  J.M. Kubica, A. Moore, and J. Schneider
  The Third IEEE International Conference on Data Mining, IEEE Computer Society, November, 2003, pp. 573-576. [Abstract]
  Download: pdf [2189 KB] copyrighted

• K-groups: Tractable Group Detection on Large Link Data Sets
  J.M. Kubica, A. Moore, and J. Schneider
  tech. report CMU-RI-TR-03-32, Robotics Institute, Carnegie Mellon University, September, 2003. [Abstract]
  Download: pdf [129 KB], ps.gz [74 KB] copyrighted

• cGraph: A Fast Graph-Based Method for Link Analysis and Queries
  J.M. Kubica, A. Moore, D. Cohn, and J. Schneider
  Proceedings of the 2003 IJCAI Text-Mining & Link-Analysis Workshop, August, 2003, pp. 22-31. [Abstract]
  Download: pdf [121 KB], ps.gz [97 KB] copyrighted

• Covariant Policy Search
  J. Bagnell and J. Schneider
  Proceeding of the International Joint Conference on Artifical Intelligence, August, 2003. [Abstract]
  Download: pdf [135 KB], ps.gz [118 KB] copyrighted

• Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries
  J.M. Kubica, A. Moore, D. Cohn, and J. Schneider
  Proceedings of the 2003 International Conference on Machine Learning, AAAI Press, August, 2003, pp. 392-399. [Abstract]
  Download: pdf [88 KB] copyrighted