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ASPLOS
2010
ACM
14 years 3 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
CONCUR
2007
Springer
14 years 3 months ago
Rule-Based Modelling of Cellular Signalling
Abstract. Modelling is becoming a necessity in studying biological signalling pathways, because the combinatorial complexity of such systems rapidly overwhelms intuitive and qualit...
Vincent Danos, Jérôme Feret, Walter F...
HRI
2006
ACM
14 years 2 months ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati
FDL
2005
IEEE
14 years 2 months ago
Incorporating SystemC in Analog/Mixed-Signal Design Flow
In today’s flows, there is still a gap between system level description and hardware implementation, especially for analog/RF building blocks. SystemC-AMS or co-simulations have...
Patrick Birrer, Walter Hartong
KBSE
2005
IEEE
14 years 2 months ago
An analysis of rule coverage as a criterion in generating minimal test suites for grammar-based software
The term grammar-based software describes software whose input can be specified by a context-free grammar. This grammar may occur explicitly in the software, in the form of an in...
Mark Hennessy, James F. Power