19 June 2017, Workshop Learning and Automata (LearnAut 2017), Reykjavik, Iceland
Grammatical Inference (GI) studies machine learning algorithms for classical recursive models of computations like automata and grammars. The expressive power of these models and the complexity of associated computational problems are a major research topic within theoretical computer science (TCS). This workshop aims at offering a favorable place for dialogue and at generating discussions between researchers from these two communities.
The workshop will have a particular emphasis on the recent successes due to collaborations between members with these two different backgrounds.
We invite submissions of recent works, possibly preliminary ones, related to the theme of the workshop. Similarly to how main machine learning conferences and workshops are organized, all accepted abstracts will be part of a poster session held during the workshop. Additionally, the Program Committee will select a subset of the abstracts for oral presentation. At least one author of each accepted abstract is expected to represent it at the workshop.