Sciweavers

415 search results - page 47 / 83
» Discovering communities in complex networks
Sort
View
ICANN
2009
Springer
14 years 20 days ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
ESANN
2007
13 years 9 months ago
An overview of reservoir computing: theory, applications and implementations
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
Benjamin Schrauwen, David Verstraeten, Jan M. Van ...
IMC
2007
ACM
13 years 9 months ago
Legal issues surrounding monitoring during network research
This work was motivated by a discussion that two of the coauthors (computer science professors) had with the other coauthor (a law professor and a former computer crime Trial Atto...
Douglas C. Sicker, Paul Ohm, Dirk Grunwald
OSDI
2008
ACM
14 years 8 months ago
Automating Network Application Dependency Discovery: Experiences, Limitations, and New Solutions
Abstract ? Large enterprise networks consist of thousands of services and applications. The performance and reliability of any particular application may depend on multiple service...
Xu Chen, Ming Zhang, Zhuoqing Morley Mao, Paramvir...
CIKM
2010
Springer
13 years 6 months ago
Mining topic-level influence in heterogeneous networks
Influence is a complex and subtle force that governs the dynamics of social networks as well as the behaviors of involved users. Understanding influence can benefit various applic...
Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang...