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GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
14 years 1 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
PC
2006
113views Management» more  PC 2006»
13 years 8 months ago
Autonomous mobility skeletons
To manage load on large and dynamic networks we have developed Autonomous Mobile Programs (AMPs) that periodically use a cost model to decide where to execute. A disadvantage of d...
Xiao Yan Deng, Greg Michaelson, Philip W. Trinder
IJCNN
2006
IEEE
14 years 2 months ago
Combining Multi-Frame Images for Enhancement Using Self-Delaying Dynamic Networks
Abstract— This paper presents the use of a newly created network structure known as a Self-Delaying Dynamic Network (SDN). The SDNs were created to process data which varies with...
Lewis Eric Hibell, Honghai Liu, David J. Brown
ATAL
2009
Springer
14 years 3 months ago
Constraint-based dynamic programming for decentralized POMDPs with structured interactions
Decentralized partially observable MDPs (DEC-POMDPs) provide a rich framework for modeling decision making by a team of agents. Despite rapid progress in this area, the limited sc...
Akshat Kumar, Shlomo Zilberstein
TNN
2008
88views more  TNN 2008»
13 years 8 months ago
A Fault-Tolerant Regularizer for RBF Networks
In classical training methods for node open fault, we need to consider many potential faulty networks. When the multinode fault situation is considered, the space of potential faul...
Chi-Sing Leung, J. P. F. Sum