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ECUMN
2004
Springer
15 years 10 months ago
Multi-time-Scale Traffic Modeling Using Markovian and L-Systems Models
Traffic engineering of IP networks requires the characterization and modeling of network traffic on multiple time scales due to the existence of several statistical properties that...
Paulo Salvador, António Nogueira, Rui Valad...
IJCAI
2007
15 years 7 months ago
A Fully Connectionist Model Generator for Covered First-Order Logic Programs
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
Sebastian Bader, Pascal Hitzler, Steffen Höll...
NIPS
1989
15 years 7 months ago
The Cascade-Correlation Learning Architecture
Cascade-Correlation is a new architecture and supervised learning algorithm for artificial neural networks. Instead of just adjusting the weights in a network of fixed topology,...
Scott E. Fahlman, Christian Lebiere
IMC
2010
ACM
15 years 4 months ago
Primitives for active internet topology mapping: toward high-frequency characterization
Current large-scale topology mapping systems require multiple days to characterize the Internet due to the large amount of probing traffic they incur. The accuracy of maps from ex...
Robert Beverly, Arthur Berger, Geoffrey G. Xie
181
Voted
BMCBI
2011
15 years 25 days ago
Properties of Metabolic Graphs: Biological Organization or Representation Artifacts?
Background: Standard graphs, where each edge links two nodes, have been extensively used to represent the connectivity of metabolic networks. It is based on this representation th...
Wanding Zhou, Luay Nakhleh