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AAAI
2010
15 years 5 months ago
Constraint Programming for Data Mining and Machine Learning
Machine learning and data mining have become aware that using constraints when learning patterns and rules can be very useful. To this end, a large number of special purpose syste...
Luc De Raedt, Tias Guns, Siegfried Nijssen
AIED
2007
Springer
15 years 10 months ago
Using Machine Learning Techniques to Analyze and Support Mediation of Student E-Discussions
Students are starting to use networked visual argumentation tools to discuss, debate, and argue with one another about topics presented by a teacher. However, this development give...
Bruce M. McLaren, Oliver Scheuer, Maarten De Laat,...
MICRO
2009
IEEE
113views Hardware» more  MICRO 2009»
15 years 10 months ago
Portable compiler optimisation across embedded programs and microarchitectures using machine learning
Building an optimising compiler is a difficult and time consuming task which must be repeated for each generation of a microprocessor. As the underlying microarchitecture changes...
Christophe Dubach, Timothy M. Jones, Edwin V. Boni...
BMCBI
2008
123views more  BMCBI 2008»
15 years 4 months ago
Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...
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ASM
2010
ASM
16 years 1 months ago
Lightweight Modeling of Java Virtual Machine Security Constraints
The Java programming language has been widely described as secure by design. Nevertheless, a number of serious security vulnerabilities have been discovered in Java, particularly i...
Mark C. Reynolds