Call for Papers
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Special Issue of
Applied Artificial Intelligence
Methods for
Adaptive Intelligent Systems
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Deadline: Oct 31, 2004
Publication: Summer 2005
Special issue editors:
Georg Dorffner, Medical University of Vienna,
and Austrian Research Institute for Artificial Intelligence
Jon Garibaldi, University of Nottingham
Davide Anguita, University of Genoa
Papers are solicited that deal with true adaptivity of models, such as
- Online adaptation to environmental changes
- Transfer of a solution to another similar one
- Systems learning on the task (growing knowledge)
in the areas of Neural computation, Machine learning, Fuzzy systems,
Evolutionary computation and related fields. The focus of papers can
be on new algorithm, tested on real data, or on case studies of real
applications. In order to be suitable for the special issue, it is
crucial to show that the algorithm cannot just be used for model
estimation but also to adapt models during routine application.
Special emphasis will be put on sound experimental validation of
the methods used.
Examples of methods to be investigated are
- online variants of learning algorithms
- incremental learning
- learning on growing structures
- adaptivity in Bayesian learning
Possible application areas include
- time series forecasting
- industrial process modeling
- medical pattern recognition
- image processing
- etc.
Papers can be submitted until the deadline, October 31, 2004,
electronically by email to georg@ai.univie.ac.at or by regular
mail to
Georg Dorffner
Dept. of Medical Cybernetics and Artificial Intelligence
Medical University of Vienna
Freyung 6/2
A-1010 Vienna, Austria
This special issue is supported by the European network EUNITE
(Smart Adaptive Systems for Intelligent Technologies), funded by
the European Commission.
Applied Artificial Intelligence is a renowned international journal
(editor: Robert Trappl) with a current impact factor of 0.789 (2003).