1226 search results - page 1 / 246 » On Conditions for Linearity of Optimal Estimation |
CORR
2011
Springer
12 years 11 months ago
2011
Springer
—When is optimal estimation linear? It is well-known that, in the case of a Gaussian source contaminated with Gaussian noise, a linear estimator minimizes the mean square estimat...
UAI
2004
13 years 5 months ago
2004
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Training sequences for estimation of channel parameters have been well designed under the condition that the number of the unknown channel parameters is not greater than the numbe...