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BMCBI
2008
118views more  BMCBI 2008»
15 years 6 months ago
Inferring transcriptional compensation interactions in yeast via stepwise structure equation modeling
Background: With the abundant information produced by microarray technology, various approaches have been proposed to infer transcriptional regulatory networks. However, few appro...
Grace S. Shieh, Chung-Ming Chen, Ching-Yun Yu, Jui...
ATAL
2007
Springer
16 years 22 days ago
Multiagent reinforcement learning and self-organization in a network of agents
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
Sherief Abdallah, Victor R. Lesser
NIPS
2008
15 years 8 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
TNN
2010
168views Management» more  TNN 2010»
15 years 1 months ago
On the selection of weight decay parameter for faulty networks
The weight-decay technique is an effective approach to handle overfitting and weight fault. For fault-free networks, without an appropriate value of decay parameter, the trained ne...
Andrew Chi-Sing Leung, Hongjiang Wang, John Sum
IDC
2009
Springer
15 years 4 months ago
Efficient Broadcasting by Selective Forwarding
A major challenge faced in mobile ad hoc networks (MANETs) is locating devices for communication, especially in the case of high node mobility and sparse node density. Present solu...
Doina Bein, Ajoy Kumar Datta, Balaji Ashok Sathyan...