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Paul Komarek
Postdoctoral Fellow

No longer a member of RI.

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My overall interest is the improvement human productivity through fast automated information anaylsis and concise summarization. My research interests include caching data structures with low amortized time cost, and the application or modification of numerical methods for exact or approximate statistical computations. I am also interested in hardware and software systems for high-performance computation.

artificial intelligence and machine learning

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

• Auton Project - Research into Autonomous Learning Software Systems

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

• Making Logistic Regression A Core Data Mining Tool: A Practical Investigation of Accuracy, Speed, and Simplicity
  P. Komarek and A. Moore
  tech. report CMU-RI-TR-05-27, Robotics Institute, Carnegie Mellon University, May, 2005. [Abstract]
  Download: pdf [214 KB], ps.gz [70 KB] copyrighted

• Logistic Regression for Data Mining and High-Dimensional Classification
  P. Komarek
  tech. report CMU-RI-TR-04-34, Robotics Institute, Carnegie Mellon University, May, 2004. [Abstract]
  Download: pdf [1579 KB], ps.gz [2027 KB] copyrighted

• Cached Sufficient Statistics for Automated Mining and Discovery from Massive Data Sources
  A. Moore, J. Schneider, B. Anderson, S. Davies, P. Komarek, M.S. Lee, M. Meila, R. Munos, K. Myers, and D. Pelleg
  July, 1999.
  Download: pdf [191 KB], ps.gz [113 KB] copyrighted