SCML: A Publishing Forum for Symbolic Computation and Machine Learning
https://scml.risc.jku.at

The SCML publishing forum is dedicated to all research that strives to
combine Symbolic Computation (SC) and Machine Learning (ML) as two major
approaches to "Artificial Intelligence", in particular the application
of ML to SC, the application of SC to ML, and the hybrid combination of
SC and ML to solving problems. We consider submissions that explore the
interaction between the two fields - not standalone works on either SC
or ML.

SCML papers can be continuously submitted and enter the reviewing
process immediately after their submission. The final versions of
accepted papers are published in the electronic RISC Proceedings on
Symbolic Computation and Machine Learning. They are archived with a DOI
and are freely available for download from the SCML web page under a
Creative Commons License. Authors of accepted papers are expected to
present them at a subsequent SCML workshop. These SCML workshops take
place in semi-regular intervals in purely online form (via Zoom),
typically in half a day. Authors of accepted SCML papers that present
original research may be invited to submit extended versions of their
papers to the SCML Track of the Journal of Symbolic Computation.

* Web Page & Submission: https://scml.risc.jku.at

* SCML Managing Editors: scml@risc.jku.at

* Steering Committee, Editorial Board, Scientific Committee:
  see the web page.