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2015 IEEE Symposium on Evolving and Autonomous Learning Systems
(IEEE EALS'15)

Click here for Symposium CFP and here for the symposium website

The EALS 2015 Symposium will be a focal point for presentation of the recent advanced research results and industrial applications in the emerging area of evolving and autonomously learning systems. We live in the era of Big Data and by that they mean high volume, high variability, versatility, veracity data streams generated by Internet, sensors, organisations and the society. Learning autonomously from this ocean of data and extracting meaningful knowledge which is not fixed, but dynamically evolving is one of the key challenges that the research community and the post-industrial societies are facing now and will face in the near future. The Symposium has established a track record of high quality meetings of a relatively compact community of advanced researchers and practitioners and aims to keep and build upon this with the current event, EALS 2015.

Topics

Symposium Co-Chairs

Plamen Angelov
Lancaster University, UK.
Email: p.angelov@lancaster.ac.uk
Dimitar Filev
Ford Motor Company, USA.
Email: dfilev@ford.com
Nikola Kasabov
Auckland University of Technology, Australia.
Email: nkasabov@aut.ac.nz

Program Committee