The overall scope of the journal is to publish original papers on:
- studies on the design and behaviour of learning in intelligent systems;
- definition of new learning tasks and methods of assessment;
- development of actual algorithms in presence of data validation;
- evidence of successful application in any of the four above fundamental sciences.
Further, it also hosts a repository of ML open source software collecting implementations of non-trivial ML algorithms, numerical toolboxes, etc. for scientific computing.
Finally, JMLFS also publishes proceedings of ML conferences, workshops, etc. as special issues.