|Special Session on "CONCEPT DRIFT, DOMAIN ADAPTATION & LEARNING IN DYNAMIC ENVIRONMENTS" @ WCCI 2016
One of the fundamental goals in computational intelligence is to achieve brain-like intelligence, a remarkable property of which is the ability to incrementally learn from noisy and incomplete data, and ability to adapt to changing environments. The special session aims at presenting novel approaches to incremental learning and adaptation to dynamic environments both from the more traditional and theoretical perspective of computational intelligence and from the more practical and application-oriented one.
This Special Session aspires at building a bridge between academic and industrial research, providing a forum for researchers in this area to exchange new ideas with each other, as well as with the rest of the neural network & computational intelligence community.
The Special Session will be held within the IEEE World Congress of Computational Intelligence (WCCI 2016), Vancouver Canada in July, 25-29 2016 http://wcci2016.org
Papers must present original work or review the state-of-the-art in the following non-exhaustive list of topics:
Keywords: Concept drift, nonstationary environment, change/anomaly detection, domain adaptation, incremental learning, data streams.Download the Call for Papers in pdf format