2485 search results - page 150 / 497 » Distributed parameter estimation in networks |
115
click to vote
ASPDAC
2008
ACM
15 years 2 months ago
2008
ACM
In modern circuit design, it is difficult to provide reliable parametric yield prediction since the real distribution of process data is hard to measure. Most existing approaches ...
111
Voted
ICMLA
2010
14 years 10 months ago
2010
Abstract-- Policy Gradients with Parameter-based Exploration (PGPE) is a novel model-free reinforcement learning method that alleviates the problem of high-variance gradient estima...
133
click to vote
CEC
2011
IEEE
14 years 17 days ago
2011
IEEE
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
CORR
2007
Springer
15 years 18 days ago
2007
Springer
— This paper introduces an expectation-maximization (EM) algorithm within a wavelet domain Bayesian framework for semi-blind channel estimation of multiband OFDM based UWB commun...
103
Voted
AICT
2006
IEEE
15 years 4 months ago
2006
IEEE
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...