-
1
-
-
51249086178
-
-
Microsoft SenseWeb project. See
-
Microsoft SenseWeb project. See http://research.microsoft.com/nec/ senseweb/.
-
-
-
-
2
-
-
0003501215
-
A review of Gaussian random fields and correlation functions
-
Technical Report 917, Norwegian Computing Center, Box 114, Blindern, N-0314 Oslo, Norway, 1997. 2nd edition
-
P. Abrahamsen. A review of Gaussian random fields and correlation functions. Technical Report 917, Norwegian Computing Center, Box 114, Blindern, N-0314 Oslo, Norway, 1997. 2nd edition.
-
-
-
Abrahamsen, P.1
-
5
-
-
77954442172
-
Model-driven data acquisition in sensor networks
-
A. Deshpande. C. Guestrin, S. Madden, J. Hellerstein, and W. Hong. Model-driven data acquisition in sensor networks. In Proceedings of the Thirtieth International Conference on Very Large Data Bases (VLDB 2004), pages 588-599, 2004.
-
(2004)
Proceedings of the Thirtieth International Conference on Very Large Data Bases (VLDB 2004)
, pp. 588-599
-
-
Deshpande, A.1
Guestrin, C.2
Madden, S.3
Hellerstein, J.4
Hong, W.5
-
7
-
-
33748488864
-
Environmental Sensor Networks: A revolution in the earth system science?
-
J. K. Hart and K. Martinez. Environmental Sensor Networks: A revolution in the earth system science? EarthScience Reviews, 78:177-191, 2006.
-
(2006)
EarthScience Reviews
, vol.78
, pp. 177-191
-
-
Hart, J.K.1
Martinez, K.2
-
8
-
-
84867040604
-
-
A. Girard, C. Rasmussen, J. Candela, and R. Murray-Smith. Gaussian process priors with uncertain inputs - application to multiple-step ahead time series forecasting. In Advances in Neural Information Processing Systems 16. MIT Press, Cambridge, MA. 2003.
-
A. Girard, C. Rasmussen, J. Candela, and R. Murray-Smith. Gaussian process priors with uncertain inputs - application to multiple-step ahead time series forecasting. In Advances in Neural Information Processing Systems 16. MIT Press, Cambridge, MA. 2003.
-
-
-
-
10
-
-
34247381191
-
Near-optimal sensor placements: Maximizing information while minimizing communication cost
-
Nashville, Tennessee, USA
-
A. Krause, C. Guestrin, A. Gupta, and J. Kleinberg. Near-optimal sensor placements: Maximizing information while minimizing communication cost. In Proceedings of the Fifth International Conference on Information Processing in Sensor Networks (IPSN '06), pages 2-10, Nashville, Tennessee, USA, 2006.
-
(2006)
Proceedings of the Fifth International Conference on Information Processing in Sensor Networks (IPSN '06)
, pp. 2-10
-
-
Krause, A.1
Guestrin, C.2
Gupta, A.3
Kleinberg, J.4
-
13
-
-
63749089324
-
Citysense: A vision for an urban-scale wireless networking testbed
-
Technical Report TR-13-07, Harvard University, September
-
R. Murty, A. Gosain, M. Tierney, A. Brody, A. Fahad, J. Bers, and M. Welsh. Citysense: A vision for an urban-scale wireless networking testbed. Technical Report TR-13-07, Harvard University, September 2007.
-
(2007)
-
-
Murty, R.1
Gosain, A.2
Tierney, M.3
Brody, A.4
Fahad, A.5
Bers, J.6
Welsh, M.7
-
14
-
-
0013521749
-
Monte Carlo is fundamentally unsound
-
A. O'Hagan. Monte Carlo is fundamentally unsound. The Statistician, 36:247-249, 1987.
-
(1987)
The Statistician
, vol.36
, pp. 247-249
-
-
O'Hagan, A.1
-
15
-
-
49149117453
-
Gaussian processes for prediction
-
Technical Report PARG-07-01. Available at, University of Oxford, September
-
M.A. Osborne and S. J. Roberts. Gaussian processes for prediction. Technical Report PARG-07-01. Available at www.robots.ox.ac.uk/~parg/ publications.html, University of Oxford, September 2007.
-
(2007)
-
-
Osborne, M.A.1
Roberts, S.J.2
-
16
-
-
21444460810
-
Unconstrained parameterizations for variance-covariance matrices
-
J. Pinheiro and D. Bates. Unconstrained parameterizations for variance-covariance matrices. Statistics and Computing, 6:289-296, 1996.
-
(1996)
Statistics and Computing
, vol.6
, pp. 289-296
-
-
Pinheiro, J.1
Bates, D.2
-
23
-
-
51249121275
-
-
The MathWorks. MATLAB R2007a, 2007. Natick, MA.
-
The MathWorks. MATLAB R2007a, 2007. Natick, MA.
-
-
-
|