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» Detecting worm variants using machine learning
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113
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ICALT
2008
IEEE
15 years 9 months ago
The Virtual Conductor: Learning and Teaching about Music, Performing, and Conducting
The Virtual Conductor is an artificial conducting system that uses real-time audio analysis of music played by musicians and uses this analysis to animate a virtual human that act...
Anton Nijholt, Dennis Reidsma, Rob Ebbers, Mark te...
ICML
2005
IEEE
16 years 3 months ago
Linear Asymmetric Classifier for cascade detectors
The detection of faces in images is fundamentally a rare event detection problem. Cascade classifiers provide an efficient computational solution, by leveraging the asymmetry in t...
Jianxin Wu, Matthew D. Mullin, James M. Rehg
AUSAI
2003
Springer
15 years 7 months ago
Combining Multiple Host-Based Detectors Using Decision Tree
Abstract. As the information technology grows interests in the intrusion detection system (IDS), which detects unauthorized usage, misuse by a local user and modification of impor...
Sang-Jun Han, Sung-Bae Cho
ML
2008
ACM
15 years 2 months ago
Margin-based first-order rule learning
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Ulrich Rückert, Stefan Kramer
97
Voted
ICALT
2009
IEEE
15 years 9 months ago
iCoper Best Practice Uses Cases and Standards for Learning Delivery
This conceptual paper outlines best practice use cases and standards for learning delivery that are the result of a European-wide best practice case study survey within the EU-fun...
Daniel Mueller, Volker Zimmermann