CFP: Special Issue on Perspectives and Challenges for Recurrent Neural Networks

Special issue of the Elsevier Journal of Algorithms in Cognition, Informatics and Logic.

Submissions connected to the following non-exhaustive list of topics are particularly encouraged:

  • new learning paradigms of RNNs such as unsupervised learning or reservoire learning
  • biologically plausible methods
  • integration of RNNs and symbolic reasoning
  • universal approaches for general data structures such as sets or graphs
  • methods which address the generalization ability of RNNs
  • challenging applications which have the potential to be benchmark problems
  • visionary papers concerning the future of RNNs

Deadline for submissions is 18th of July, 2008.

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