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Mark Palatucci
PhD Student

Email address: mpalatuc@andrew.cmu.edu

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

Jump to: Research interests | Keywords | Publications

My research interests revolve around machine learning and pattern recognition. I work as part of the Brain Image Analysis Research Group, a team that develops machine learning techniques to analyze fMRI data. Specifically, I am working on machine learning problems that involve high dimensionality and very sparse training set data. I am also interested in transfer/lifelong learning, deep belief nets, and automatic feature synthesis.

artificial intelligence, machine learning, neural networks, and pattern recognition

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• On the Chance Accuracies of Large Collections of Classifiers
  M. Palatucci and A. Carlson
  Proceedings of the 25th International Conference on Machine Learning, July, 2008. [Abstract]
  Download: pdf [160 KB] copyrighted

• Classification in Very High Dimensional Problems with Handfuls of Examples
  M. Palatucci and T. Mitchell
  Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Springer-Verlag, September, 2007. [Abstract]
  Download: pdf [177 KB] copyrighted

• Stanley: The Robot that Won the DARPA Grand Challenge
  S. Thrun, M. Montemerlo, H. Dahlkamp, D. Stavens, A. Aron, J. Diebel, P. Fong, J. Gale, M. Halpenny, G. Hoffmann, K. Lau, C. Oakley, M. Palatucci, V. Pratt, P. Stang, S. Strohband, C. Dupont, L. Jendrossek, C. Koelen, C. Markey, C. Rummel, J. van Niekerk, E. Jensen, P. Alessandrini, G. Bradski, B. Davies, S. Ettinger, A. Kaehler, A. Nefian, and P. Mahoney
  Journal of Field Robotics, Vol. 23, No. 9, June, 2006, pp. 661-692. [Abstract]