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WSC
1998
15 years 2 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
NN
2006
Springer
15 years 21 days ago
Self-organizing neural networks to support the discovery of DNA-binding motifs
Identification of the short DNA sequence motifs that serve as binding targets for transcription factors is an important challenge in bioinformatics. Unsupervised techniques from t...
Shaun Mahony, Panayiotis V. Benos, Terry J. Smith,...
98
Voted
INFOCOM
2010
IEEE
14 years 11 months ago
UUSee: Large-Scale Operational On-Demand Streaming with Random Network Coding
—Since the inception of network coding in information theory, we have witnessed a sharp increase of research interest in its applications in communications and networking, where ...
Zimu Liu, Chuan Wu, Baochun Li, Shuqiao Zhao
WWW
2007
ACM
16 years 1 months ago
Identifying and discriminating between web and peer-to-peer traffic in the network core
Traffic classification is the ability to identify and categorize network traffic by application type. In this paper, we consider the problem of traffic classification in the netwo...
Jeffrey Erman, Anirban Mahanti, Martin F. Arlitt, ...
99
Voted
CLUSTER
2009
IEEE
15 years 7 months ago
Oblivious routing schemes in extended generalized Fat Tree networks
—A family of oblivious routing schemes for Fat Trees and their slimmed versions is presented in this work. First, two popular oblivious routing algorithms, which we refer to as S...
Germán Rodríguez, Cyriel Minkenberg,...