JMLFS

jmlfs aims at attracting top scientists as its contributors for the purpose of creating a multi-disciplinary pool of ml innovators adept at working in both academic and commercial environments. they will share their skills and visions through both journal submissions and a software repository. to our readers, we commit to publish only high quality, rigorously assessed research and tools which will impact either or both of these two domains. to our authors, we assert our commitment to a fair and impartial review process as well as unlimited accessibility of their outputs for the present and the future.