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Dear colleagues,

As you may know, the paper submission deadline of IEEE CEC 2019 has been extended until January 21, 2019.

We would like to invite you to submit a paper for the Special Session on New Directions in Evolutionary Machine Learning at IEEE Congress on Evolutionary Computation 2019 (CEC 2019) which will be held in WELLINGTON, NEW ZEALAND, June 10-13, 2019.

Special Session: New Directions in Evolutionary Machine Learning (Special session Id: CEC-15)
Organizers: Masaya Nakata, Yusuke Nojima, Will Browne

For more details: https://sites.google.com/site/cec2019ssndeml/home

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Evolutionary Machine Learning (EML) explores technologies that integrate machine learning (e.g., neural networks, decision trees, fuzzy systems, reinforcement learning) with evolutionary computation for tasks including optimization, classification,
regression, and clustering. Since machine learning contributes to parameter learning while evolutionary computation contributes to model/parameter optimization, one of the fundamental interests in EML is a management of interactions between learning and
evolution to produce a system performance that cannot be achieved by either of these approaches alone. Historically, this research area was called Genetics-Based Machine Learning (GBML) and it was concerned with learning classifier systems (LCS) with its
numerous implementations. More recently, EML has emerged as a more general field than GBML. It is consequently a broader, more flexible and more capable paradigm than GBML. From this viewpoint, the aim of this special session is to explore potential EML
technologies and clarify new directions for EML to show its prospects. For this purpose, this special session focuses on, but is not limited to, the following areas in EML:

- Evolutionary learning systems (e.g., learning classifier systems)
- Evolutionary decision trees
- Evolutionary cascade systems
- Evolutionary fuzzy systems
- Evolutionary reinforcement learning
- Evolutionary ensemble systems
- Evolutionary adaptive systems
- Evolutionary neural network (e.g., neuroevolution, evolutionary deep neural networks)
- Artificial immune systems
- Genetic programming applied to machine learning
- Evolutionary feature selection and construction for machine learning
- Transfer learning; learning blocks of knowledge (memes, code, etc.)
- Accuracy-interpretability tradeoff in EML
- Applications and theory of EML

Important dates are as follows:
- Paper Submission Deadline: 7 January 2019 => 21 January 2019
- Paper Acceptance Notification: 7 March 2019
- Final Paper Submission Deadline: 31 March 2019
- Conference Dates: 10-13 June 2019

Best regards,
Masaya Nakata, Yusuke Nojima, Will Browne

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