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JSW
2007
115views more  JSW 2007»
15 years 6 months ago
Modeling Network Behaviour By Full-System Simulation
— Due to the network technology advances, an order-of-magnitude jump has been produced in the network bandwidth. This fact has returned to wake up the interest on protocol offloa...
Andrés Ortiz, Julio Ortega, Antonio F. D&ia...
ALENEX
2003
137views Algorithms» more  ALENEX 2003»
15 years 8 months ago
The Markov Chain Simulation Method for Generating Connected Power Law Random Graphs
Graph models for real-world complex networks such as the Internet, the WWW and biological networks are necessary for analytic and simulation-based studies of network protocols, al...
Christos Gkantsidis, Milena Mihail, Ellen W. Zegur...
NIPS
2000
15 years 8 months ago
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Thomas Natschläger, Wolfgang Maass, Eduardo D...
ESANN
2004
15 years 8 months ago
Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony
To emphasize the electrical nature of information processing in the brain we use a compartmental model of single neurons. The realistic simulation of wave-like activity in the recu...
Karsten Kube, Andreas Herzog, Vadym Spravedlyvyy, ...
NIPS
2000
15 years 8 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller