204 search results - page 15 / 41 » Learning locally minimax optimal Bayesian networks |
106
Voted
EC
2006
14 years 9 months ago
2006
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
FLAIRS
2008
14 years 11 months ago
2008
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
IPSN
2010
Springer
15 years 4 months ago
2010
Springer
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
BMCBI
2010
14 years 9 months ago
2010
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
PERCOM
2007
ACM
15 years 9 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...