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ADHOC
2008
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15 years 6 months ago
MORA routing and capacity building in disruption-tolerant networks
Disruption-tolerant networks (DTNs) differ from other types of networks in that capacity is created by the movements of network participants. This implies that understanding and in...
Brendan Burns, Oliver Brock, Brian Neil Levine
IDA
2003
Springer
15 years 12 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
IJCAI
1989
15 years 7 months ago
Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks
This paper presents and compares results for three types of connectionist networks on perceptual learning tasks: [A] Multi-layered converging networks of neuron-like units, with e...
Vasant Honavar, Leonard Uhr
CIDM
2009
IEEE
16 years 1 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
PCI
2005
Springer
16 years 6 days ago
NGCE - Network Graphs for Computer Epidemiologists
Abstract. Graphs are useful data structures capable of efficiently representing a variety of technological and social networks. They are therefore utilized in simulation-based stud...
Vasileios Vlachos, Vassiliki Vouzi, Damianos Chatz...