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APNOMS
2008
Springer
13 years 7 months ago
Empirical Analysis of Application-Level Traffic Classification Using Supervised Machine Learning
Accurate application traffic classification and identification are important for network monitoring and analysis. The accuracy of traditional Internet application traffic classific...
Byungchul Park, Young J. Won, Mi-Jung Choi, Myung-...
ECTEL
2008
Springer
13 years 7 months ago
Knowledge Practices Environment: Design and Application of Technology for Trialogical Learning
Current networked society present learners with challenges that cannot be sufficiently coped with in educational contexts that are characterized by transmission or participation ep...
Patrick Sins, Merja Bauters, Crina Damsa
ECTEL
2009
Springer
13 years 3 months ago
CAMera for PLE
Successful self-regulated learning in a personalized learning environment (PLE) requires self-monitoring of the learner and reflection of learning behaviour. We introduce a tool ca...
Hans-Christian Schmitz, Maren Scheffel, Martin Fri...
ICML
2010
IEEE
13 years 6 months ago
SVM Classifier Estimation from Group Probabilities
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
Stefan Rüping
ISF
2010
164views more  ISF 2010»
13 years 2 months ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu