154 search results - page 2 / 31 » Bayesian network structure learning using cooperative coevol... |
ECAL
2005
Springer
13 years 10 months ago
2005
Springer
Using decentralized control structures for robot control can offer a lot of advantages, such as less complexity, better fault tolerance and more flexibility. In this paper the ev...
EH
2002
IEEE
13 years 9 months ago
2002
IEEE
This paper discusses approaches to cooperative coevolution of form and function for autonomous vehicles, specifically evolving morphology and control for an autonomous micro air v...
UAI
1997
13 years 6 months ago
1997
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
IJAR
2007
13 years 4 months ago
2007
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...