651 search results - page 13 / 131 » Selectivity estimation in spatial networks |
COMSWARE
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper we propose a method for selecting an appropriate subset of sensors with a view to minimize estimation error while tracking a target with sensors spread across in a 2...
UIST
2005
ACM
14 years 1 months ago
2005
ACM
A significant problem encounteredwhen building Augmented Reality (AR) systems is that all spatial knowledge about the world has uncertainty associated with it. This uncertainty m...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
This paper presents a new method for the selection of the two hyperparameters of Least Squares Support Vector Machine (LS-SVM) approximators with Gaussian Kernels. The two hyperpar...
AUSAI
2005
Springer
14 years 1 months ago
2005
Springer
SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes’ attribute independence assumption by allowing each attribute to depend on a common single attribute (superpare...