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» On General Laws of Complex Networks
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IJCNN
2000
IEEE
15 years 8 months ago
On MCMC Sampling in Bayesian MLP Neural Networks
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
Aki Vehtari, Simo Särkkä, Jouko Lampinen
135
Voted
HYBRID
2009
Springer
15 years 7 months ago
Distributed Wombling by Robotic Sensor Networks
This paper proposes a distributed coordination algorithm for robotic sensor networks to detect boundaries that separate areas of abrupt change of spatial phenomena. We consider an ...
Jorge Cortés
145
Voted
DSS
2007
112views more  DSS 2007»
15 years 3 months ago
Service-based P2P overlay network for collaborative problem solving
This paper describes a service-based P2P overlay network architecture to support a collaborative environment for solving complex business processes over the network. In the propos...
Sanjay Goel, Shashishekara S. Talya, Michael W. So...
PPSN
1994
Springer
15 years 8 months ago
A Cooperative Coevolutionary Approach to Function Optimization
A general model for the coevolution of cooperating species is presented. This model is instantiated and tested in the domain of function optimization, and compared with a tradition...
Mitchell A. Potter, Kenneth A. De Jong
148
Voted
PEWASUN
2004
ACM
15 years 9 months ago
An M/MMGI/1/K queuing model for IEEE 802.11 ad hoc networks
An M/MMGI/1/K queuing model is developed for the analysis of IEEE 802.11 DCF using RTS/CTS. Results are based on arbitrary contention conditions, namely, collision probabilities, ...
Mustafa Özdemir, A. Bruce McDonald