Conference on Machine Learning (CAp)
The CAp 2019 Program Committee kindly invites to submit your recent works in machine learning. They can be ongoing works, brand-new results, but also papers that have already been submitted or recently accepted to top international conferences (in this case, we recommend you to translate the title of the paper).
PhD students are particularly encouraged to submit a paper.
This year, the Cap and JFPDA conferences (Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes) will be hosted by the PFIA platform. A joint CAp-JFPDA session will be organized on reinforcement learning.
The Cap conference is also paired with several other conferences at the 33rd annual conference of Japanese Society on Artifical Intelligence JSAI 2019 http://www.ai-gakkai.or.jp/jsai2019/en/cfp, and it will be open to submissions from that country.
Papers can be written in French or in English. We recommend two possible formatting types:
- Long papers up to 10 pages on machine learning and applications. Latex style is available via the following link
- Short papers from 4 to 6 pages, where a novel idea is presented. You can use the same Latex style as above.
Submissions are carried out in PDF through the EasyChair website: https://easychair.org/conferences/?conf=cap2019.
Every submitted paper will be evaluated by at least two reviewers. The reviewing criteria include novelty and originality of the submitted work, technical soundness, importance of the results, and quality of writing. The final decision will be made by the Program and Organization Committee.
Accepted papers will be handed out to participants and collected in electronic proceedings published on the open archive HAL if the authors agree to do so.
At the conference, the authors of the accepted papers will be invited to present their results both through a talk and a poster.