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KDD
2003
ACM
217views Data Mining» more  KDD 2003»
14 years 10 months ago
Algorithms for estimating relative importance in networks
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
Scott White, Padhraic Smyth
IPPS
1998
IEEE
14 years 2 months ago
Hyper Butterfly Network: A Scalable Optimally Fault Tolerant Architecture
Boundeddegreenetworks like deBruijn graphsor wrapped butterfly networks are very important from VLSI implementation point of view as well as for applications where the computing n...
Wei Shi, Pradip K. Srimani
AINA
2010
IEEE
14 years 3 months ago
A Quadratic, Complete, and Minimal Consistency Diagnosis Process for Firewall ACLs
— Developing and managing firewall Access Control Lists (ACLs) are hard, time-consuming, and error-prone tasks for a variety of reasons. Complexity of networks is constantly incr...
Sergio Pozo, A. J. Varela-Vaca, Rafael M. Gasca
TEC
2008
93views more  TEC 2008»
13 years 10 months ago
The Self-Organization of Interaction Networks for Nature-Inspired Optimization
Over the last decade, significant progress has been made in understanding complex biological systems, however there have been few attempts at incorporating this knowledge into natu...
James M. Whitacre, Ruhul A. Sarker, Q. Tuan Pham
JMLR
2010
144views more  JMLR 2010»
13 years 5 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...