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» Learning to Identify Unexpected Instances in the Test Set
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ISMIS
2005
Springer
14 years 27 days ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni
AAAI
2008
13 years 9 months ago
Learning to Analyze Binary Computer Code
We present a novel application of structured classification: identifying function entry points (FEPs, the starting byte of each function) in program binaries. Such identification ...
Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller...
JSW
2008
130views more  JSW 2008»
13 years 7 months ago
A Constraint-Driven Executable Model of Dynamic System Reconfiguration
Dynamic system reconfiguration techniques are presented that can enable the systematic evolution of software systems due to unanticipated changes in specification or requirements. ...
D'Arcy Walsh, Francis Bordeleau, Bran Selic
BMCBI
2007
157views more  BMCBI 2007»
13 years 7 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
ICASSP
2008
IEEE
14 years 1 months ago
Automatic classification of question turns in spontaneous speech using lexical and prosodic evidence
The ability to identify speech acts reliably is desirable in any spoken language system that interacts with humans. Minimally, such a system should be capable of distinguishing be...
Sankaranarayanan Ananthakrishnan, Prasanta Ghosh, ...