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HIS
2008
15 years 8 months ago
A Sequential Learning Resource Allocation Network for Image Processing Applications
Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a...
Stefan Wildermann, Jürgen Teich
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
15 years 8 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
AAAI
2010
15 years 7 months ago
The Genetic Algorithm as a General Diffusion Model for Social Networks
Diffusion processes taking place in social networks are used to model a number of phenomena, such as the spread of human or computer viruses, and the adoption of products in `vira...
Mayank Lahiri, Manuel Cebrián
193
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ADHOC
2008
183views more  ADHOC 2008»
15 years 6 months ago
On ant routing algorithms in ad hoc networks with critical connectivity
This paper shows a novel self-organizing approach for routing datagrams in ad hoc networks, called Distributed Ant Routing (DAR). This approach belongs to the class of routing alg...
Laura Rosati, Matteo Berioli, Gianluca Reali
ENTCS
2006
175views more  ENTCS 2006»
15 years 6 months ago
Observing Internet Worm and Virus Attacks with a Small Network Telescope
A network telescope is a portion of the IP address space which is devoted to observing inbound internet traffic. The purpose of a network telescope is to detect and log malicious ...
Uli Harder, Matt W. Johnson, Jeremy T. Bradley, Wi...