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» Host Based Intrusion Detection using Machine Learning
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ML
2002
ACM
178views Machine Learning» more  ML 2002»
13 years 7 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
ICALT
2007
IEEE
14 years 1 months ago
Predicting the Learner's Emotional Reaction towards the Tutor's Intervention
The tutor tries, by using feedbacks, to keep the learner’s attention and to increase his motivation and then his performance. However, the effectiveness of the tutor’s feedbac...
Soumaya Chaffar, Gerardo Cepeda, Claude Frasson
NSPW
2006
ACM
14 years 1 months ago
Dark application communities
In considering new security paradigms, it is often worthwhile to anticipate the direction and nature of future attack paradigms. We identify a class of attacks based on the idea o...
Michael E. Locasto, Angelos Stavrou, Angelos D. Ke...
ITICSE
2006
ACM
14 years 1 months ago
A web-based service for the automatic detection of roles of variables
Learning elementary programming can be enhanced by introducing the notion of variable roles to students. This paper presents a web-based automatic role detection service that can ...
Petri Gerdt, Jorma Sajaniemi
ISBI
2008
IEEE
14 years 8 months ago
Flexible synapse detection in fluorescence micrographs by modeling human expert grading
A particularly difficult task in molecular imaging is the analysis of fluorescence microscopy images of neural tissue, as they usually exhibit a high density of objects with diffu...
Julia Herold, Manuela Friedenberger, Marcus Bode, ...