Distributed regression: an efficient framework for modeling sensor network data. Guestrin, C., Bodík, P., Thibaux, R., Paskin, M. A., & Madden, S. In Ramchandran, K., Sztipanovits, J., Hou, J. C., & Pappas, T. N., editors, Proceedings of the Third International Symposium on Information Processing in Sensor Networks, IPSN 2004, Berkeley, California, USA, April 26-27, 2004, pages 1–10, 2004. ACM.
Distributed regression: an efficient framework for modeling sensor network data [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/ipsn/GuestrinBTPM04,
  author    = {Carlos Guestrin and
               Peter Bod{\'{\i}}k and
               Romain Thibaux and
               Mark A. Paskin and
               Samuel Madden},
  editor    = {Kannan Ramchandran and
               Janos Sztipanovits and
               Jennifer C. Hou and
               Thrasyvoulos N. Pappas},
  title     = {Distributed regression: an efficient framework for modeling sensor
               network data},
  booktitle = {Proceedings of the Third International Symposium on Information Processing
               in Sensor Networks, {IPSN} 2004, Berkeley, California, USA, April
               26-27, 2004},
  pages     = {1--10},
  publisher = {{ACM}},
  year      = {2004},
  url       = {https://doi.org/10.1145/984622.984624},
  doi       = {10.1145/984622.984624},
  timestamp = {Wed, 16 Oct 2019 14:14:56 +0200},
  biburl    = {https://dblp.org/rec/conf/ipsn/GuestrinBTPM04.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
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