Search

Navigator: RI | Publications | Cached Sufficient Statistics for Automated Mining and Discovery from Massive Data Sources

Graphics enhanced version of this site

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.

Jump to: Download | Notes | Text Reference | BibTeX Reference


Download [Help]

Adobe portable document format (pdf) [191 KB]
Compressed postscript (ps.gz) [113 KB]

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


Notes

Associated lab/group: Auton Lab
Associated project: Auton Project


Text Reference

A. Moore, J. Schneider, B. Anderson, S. Davies, P. Komarek, M.S. Lee, M. Meila, R. Munos, K. Myers, and D. Pelleg, "Cached Sufficient Statistics for Automated Mining and Discovery from Massive Data Sources," July, 1999.


BibTeX Reference

@incollection{Moore_1999_3262,
   author = "Andrew Moore and Jeff Schneider and Brigham Anderson and Scott Davies and Paul Komarek and Mary Soon Lee and Marina Meila and Remi Munos and Kary Myers and Dan Pelleg",
   title = "Cached Sufficient Statistics for Automated Mining and Discovery from Massive Data Sources",
   month = "July",
   year = "1999"
}


The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
For updates and comments, please see these instructions.
This page maintained by robotwebmaster@ri.cmu.edu