Distributed regression: an efficient framework for modeling sensor network data

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Authors: Carlos Guestrin Intel Research - Berkeley Lab
Peter Bodik University of California, Berkeley, CA
Romain Thibaux University of California, Berkeley, CA
Mark Paskin University of California, Berkeley, CA
Samuel Madden Intel Research - Berkeley Lab
Distributed regression: an efficient framework for modeling sensor network data Published by ACM 2004 Article
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· Proceeding
IPSN '04 Proceedings of the 3rd international symposium on Information processing in sensor networks
Pages 1-10
ACM New York, NY, USA ©2004
table of contents ISBN:1-58113-846-6 doi>10.1145/984622.984624

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