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» New models and algorithms for programmable networks
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132
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SPRINGSIM
2010
14 years 11 months ago
GTNA: a framework for the graph-theoretic network analysis
Concise and reliable graph-theoretic analysis of complex networks today is a cumbersome task, consisting essentially of the adaptation of intricate libraries for each specific pr...
Benjamin Schiller, Dirk Bradler, Immanuel Schweize...
98
Voted
COCOON
2006
Springer
15 years 4 months ago
Reconstructing Evolution of Natural Languages: Complexity and Parameterized Algorithms
In a recent article, Nakhleh, Ringe and Warnow introduced perfect phylogenetic networks--a model of language evolution where languages do not evolve via clean speciation--and form...
Iyad A. Kanj, Luay Nakhleh, Ge Xia
129
Voted
ICML
2000
IEEE
15 years 5 months ago
Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning
Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
Thomas R. Shultz, François Rivest
105
Voted
WS
2005
ACM
15 years 6 months ago
Modeling epidemic spreading in mobile environments
The growing popularity of mobile networks makes them increasingly attractive to virus writers, and malicious code targeting mobile devices has already begun to appear. Unfortunate...
James W. Mickens, Brian D. Noble
AAAI
2012
13 years 3 months ago
A Spin-Glass Model for Semi-Supervised Community Detection
Current modularity-based community detection methods show decreased performance as relational networks become increasingly noisy. These methods also yield a large number of divers...
Eric Eaton, Rachael Mansbach