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» Learning Algorithms for Domain Adaptation
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MODELS
2009
Springer
15 years 6 months ago
Weaving Variability into Domain Metamodels
A Domain-Specific Modeling Language (DSMLs) describes the concepts and their relationships of a particular domain, in a metamodel. Using a DSML, it is possible to describe a wide ...
Brice Morin, Gilles Perrouin, Philippe Lahire, Oli...
TIDSE
2004
Springer
15 years 5 months ago
Learning from the Movie Industry: Adapting Production Processes for Storytelling in VR
Any movie production needs a whole group of contributing authors and creative artists from various fields. The same should obviously be true for the making of a compelling VR scena...
Richard Wages, Benno Grützmacher, Stefan Conr...
CEC
2007
IEEE
15 years 6 months ago
Towards a generic control strategy for Evolutionary Algorithms: an adaptive fuzzy-learning approach
— This paper presents a new method to generalize strategies in order to control parameters of Evolutionary Algorithms (EAs). A learning process establishes the relationship betwe...
Jorge Maturana, Frédéric Saubion
ML
2010
ACM
142views Machine Learning» more  ML 2010»
14 years 10 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
ICML
2002
IEEE
16 years 19 days ago
Active + Semi-supervised Learning = Robust Multi-View Learning
In a multi-view problem, the features of the domain can be partitioned into disjoint subsets (views) that are sufficient to learn the target concept. Semi-supervised, multi-view a...
Ion Muslea, Steven Minton, Craig A. Knoblock