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    = {Tue, 08 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ipsn/GuestrinBTPM04.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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