253 search results - page 19 / 51 » Learning Bayesian Networks by Evolution for Classifier Combi... |
INFOCOM
2008
IEEE
14 years 2 months ago
2008
IEEE
—Knowledge of the network path properties such as latency, hop count, loss and bandwidth is key to the performance of overlay networks, grids and p2p applications. Network operat...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
IJCAI
2001
13 years 9 months ago
2001
Models of computer users that are learned on the basis of data can make use of two types of information: data about users in general and data about the current individual user. Fo...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
ICANN
2011
Springer
12 years 11 months ago
2011
Springer
Subspace learning is very important in today's world of information overload. Distinguishing between categories within a subset of a large data repository such as the web and ...