163 search results - page 13 / 33 » Optimal Nonlinear Prediction of Random Fields on Networks |
ICONIP
2008
13 years 9 months ago
2008
Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
TIT
2008
13 years 7 months ago
2008
We consider the problem of sequential decision making for random fields corrupted by noise. In this scenario, the decision maker observes a noisy version of the data, yet judged wi...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
CCE
2006
13 years 7 months ago
2006
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...