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» Possibilistic Networks with Locally Weighted Knowledge Bases
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ECSQARU
2005
Springer
14 years 1 months ago
On the Use of Restrictions for Learning Bayesian Networks
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
Luis M. de Campos, Javier Gomez Castellano
IJAR
2007
130views more  IJAR 2007»
13 years 7 months ago
Bayesian network learning algorithms using structural restrictions
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...
Luis M. de Campos, Javier Gomez Castellano
DIALM
2008
ACM
140views Algorithms» more  DIALM 2008»
13 years 9 months ago
Latency of opportunistic forwarding in finite regular wireless networks
In opportunistic forwarding, a node randomly relays packets to one of its neighbors based on local information, without the knowledge of global topology. Each intermediate node co...
Prithwish Basu, Chi-Kin Chau
PADS
2005
ACM
14 years 1 months ago
Simulating Realistic Packet Routing without Routing Protocols
A fundamental requirement for any network simulation environment is the realistic forwarding of packets from a source to a destination in the simulated topology. The routing decis...
George F. Riley, Dheeraj Reddy
AROBOTS
2002
115views more  AROBOTS 2002»
13 years 7 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...