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» Modelling Variability for System Families
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JMLR
2010
134views more  JMLR 2010»
13 years 6 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
JAIR
2008
157views more  JAIR 2008»
13 years 11 months ago
Qualitative System Identification from Imperfect Data
Experience in the physical sciences suggests that the only realistic means of understanding complex systems is through the use of mathematical models. Typically, this has come to ...
George Macleod Coghill, Ashwin Srinivasan, Ross D....
IUI
1997
ACM
14 years 3 months ago
Inductive Task Modeling for User Interface Customization
This paper describes ActionStreams, a system for inducing task models from observations of user activity. The model can represent several task structures: hierarchy, variable sequ...
David Maulsby
CORR
1998
Springer
126views Education» more  CORR 1998»
13 years 10 months ago
Stable models and an alternative logic programming paradigm
In this paper we reexamine the place and role of stable model semantics in logic programming and contrast it with a least Herbrand model approach to Horn programs. We demonstrate ...
Victor W. Marek, Miroslaw Truszczynski
ESORICS
2009
Springer
14 years 11 months ago
Automatically Generating Models for Botnet Detection
A botnet is a network of compromised hosts that is under the control of a single, malicious entity, often called the botmaster. We present a system that aims to detect bots, indepe...
Peter Wurzinger, Leyla Bilge, Thorsten Holz, Jan G...