Modeling UpLink power control with outage probabilities
Kenneth L. Clarkson, K. Georg Hampel, et al.
VTC Spring 2007
Prequential model selection is a data-driven methodology for selecting between rival models on the basis of their predictive ability where the predictive ability of a model is measured by its accumulated prediction error on a given set of observations. Given i.i.d. observations, we propose a regression estimator-based on neural networks-that selects the number of "hidden units" using prequential model selection, and establish a rate of convergence for the statistical risk of the proposed estimator. © 1997 IEEE.
Kenneth L. Clarkson, K. Georg Hampel, et al.
VTC Spring 2007
Ehud Altman, Kenneth R. Brown, et al.
PRX Quantum
R.B. Morris, Y. Tsuji, et al.
International Journal for Numerical Methods in Engineering
Imran Nasim, Michael E. Henderson
Mathematics