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APNOMS
2008
Springer
15 years 8 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-...
196
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ICPR
2010
IEEE
15 years 6 months ago
Adaptive Incremental Learning with an Ensemble of Support Vector Machines
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
RAID
2010
Springer
15 years 5 months ago
Inferring Protocol State Machine from Real-World Trace
Application-level protocol specifications are helpful for network security management, including intrusion detection, intrusion prevention and detecting malicious code. However, c...
Yipeng Wang, Zhibin Zhang, Li Guo
ACL
2010
15 years 4 months ago
Balancing User Effort and Translation Error in Interactive Machine Translation via Confidence Measures
This work deals with the application of confidence measures within an interactivepredictive machine translation system in order to reduce human effort. If a small loss in translat...
Jesús González-Rubio, Daniel Ortiz-M...
ACL
2010
15 years 4 months ago
Paraphrase Lattice for Statistical Machine Translation
Lattice decoding in statistical machine translation (SMT) is useful in speech translation and in the translation of German because it can handle input ambiguities such as speech r...
Takashi Onishi, Masao Utiyama, Eiichiro Sumita