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» The changing science of machine learning
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ECTEL
2010
Springer
13 years 5 months ago
GVIS: A Facility for Adaptively Mashing Up and Representing Open Learner Models
In this article we present an infrastructure for creating mash up and visual representations of the user profile that combine data from different sources. We explored this approach...
Luca Mazzola, Riccardo Mazza
COLT
1992
Springer
13 years 11 months ago
On Learning Limiting Programs
Machine learning of limit programs (i.e., programs allowed finitely many mind changes about their legitimate outputs) for computable functions is studied. Learning of iterated lim...
John Case, Sanjay Jain, Arun Sharma
SOFSEM
2010
Springer
14 years 4 months ago
Lessons in Software Evolution Learned by Listening to Smalltalk
The biggest challenge facing software developers today is how to gracefully evolve complex software systems in the face of changing requirements. We clearly need software systems t...
Oscar Nierstrasz, Tudor Gîrba
HCW
1999
IEEE
14 years 21 hour ago
Metacomputing with MILAN
The MILAN project, a joint effort involving Arizona State University and New York University, has produced and validated fundamental techniques for the realization of efficient, r...
Arash Baratloo, Partha Dasgupta, Vijay Karamcheti,...
ICALT
2009
IEEE
14 years 2 months ago
A Graphical Modeling Language for Computer-Based Learning Scenarios
A crucial challenge for improving EMLs is to provide an intuitive notation to support educational practitioners to not only understand, but also describe a large number of flexibl...
Anne Lejeune, Muriel Ney, Armin Weinberger, Margus...