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IEEEIAS
2008
IEEE
15 years 4 months ago
Ensemble of One-Class Classifiers for Network Intrusion Detection System
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
ITS
2004
Springer
138views Multimedia» more  ITS 2004»
15 years 3 months ago
A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems
Research has shown that students’ problem-solving actions vary in type and duration. Among other causes, this behavior is a result of strategies that are driven by different goal...
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kennet...
HCI
2007
14 years 11 months ago
Suppressing Competition in a Computer-Supported Collaborative Learning System
The purpose of this study is to explore how student competition using the tit-for-tat strategy could be remedied with a minimum design change in order to support student to collabo...
Kwangsu Cho, Bosung Kim
NIPS
1998
14 years 11 months ago
Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model
Fraud causes substantial losses to telecommunication carriers. Detection systems which automatically detect illegal use of the network can be used to alleviate the problem. Previo...
Jaakko Hollmén, Volker Tresp
JUCS
2006
185views more  JUCS 2006»
14 years 9 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...