180 search results - page 15 / 36 » On the Convergence Rate of Good-Turing Estimators |
IJCAI
2001
14 years 12 months ago
2001
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
ICASSP
2011
IEEE
14 years 2 months ago
2011
IEEE
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
VTC
2008
IEEE
15 years 5 months ago
2008
IEEE
Abstract— In this paper, we investigate Turbo-coded transmission over a temporally correlated flat Rayleigh fading channel. Conventionally, channel estimation is performed prior...
TNN
2008
14 years 10 months ago
2008
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
MASCOTS
2008
14 years 12 months ago
2008
Lifetime of a wireless sensor network is affected by key factors such as network architecture, network size, sensor node population model, data generation rate, initial battery bu...