Open Access Policy
The Babylonian Journal of Machine Learning (BJML) offers immediate open access to all its published content, driven by the belief that freely available research fosters a wider exchange of global knowledge.
Copyright and Open Access Licenses
Authors retain the copyright to their work and can choose from a range of Creative Commons licenses, including the Creative Commons Attribution 4.0 International License.
Attribution 4.0 International (CC BY 4.0)
This license grants you the freedom to:
- Share — Copy and redistribute the material in any medium or format.
- Adapt — Remix, transform, and build upon the material for any purpose, even commercially.
These freedoms cannot be revoked as long as you comply with the license terms.
License Terms:
- Attribution — Proper credit must be given, including a link to the license and indication of any changes made. This should be done in a way that does not suggest endorsement by the licensor.
Additional Conditions:
- No additional restrictions — Legal or technological measures restricting the use of the material are prohibited.
Notices:
- You are not required to comply with the license for material in the public domain or where exceptions apply.
- The license does not guarantee all necessary permissions, such as publicity, privacy, or moral rights.
For detailed information, please visit our Publication Ethics page.