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» Detecting worm variants using machine learning
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AIED
2009
Springer
15 years 10 months ago
Detecting the Learning Value of Items In a Randomized Problem Set
Researchers that make tutoring systems would like to know which pieces of educational content are most effective at promoting learning among their students. Randomized controlled e...
Zachary A. Pardos, Neil T. Heffernan
EDUTAINMENT
2008
Springer
15 years 5 months ago
Integrating Gesture Recognition in Airplane Seats for In-Flight Entertainment
In order to reduce both the psychological and physical stress in air travel, sensors are integrated in airplane seats to detect the gestures as input for in-flight entertainment sy...
Rick van de Westelaken, Jun Hu, Hao Liu, Matthias ...
JSS
2002
198views more  JSS 2002»
15 years 3 months ago
Automated discovery of concise predictive rules for intrusion detection
This paper details an essential component of a multi-agent distributed knowledge network system for intrusion detection. We describe a distributed intrusion detection architecture...
Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les...
139
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IDEAL
2003
Springer
15 years 8 months ago
Detecting Distributed Denial of Service (DDoS) Attacks through Inductive Learning
As the complexity of Internet is scaled up, it is likely for the Internet resources to be exposed to Distributed Denial of Service (DDoS) flooding attacks on TCP-based Web servers....
Sanguk Noh, Cheolho Lee, Kyunghee Choi, Gihyun Jun...
JMLR
2006
131views more  JMLR 2006»
15 years 3 months ago
On Representing and Generating Kernels by Fuzzy Equivalence Relations
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
Bernhard Moser