International Journal of Machine Learning (IJML) is an international academic open access journal which gains a foothold in Singapore, Asia and opens to the world. It aims to promote the integration of machine learning. The focus is to publish papers on state-of-the-art machine learning. Submitted papers will be reviewed by technical committees of the Journal and Association. The audience includes researchers, managers and operators for machine learning and computing as well as designers and developers.

International Journal of Machine Learning is an open access journal which focus on publishing original and peer reviewed research papers on all aspects of machine learning. The subject covered by the journal include machine learning theory, algorithms, approaches, models, and applications. The topics include but not limited to:

Natural language processing (NLP)
Artificial intelligence
Deep learning
Data mining
Computer vision
Intelligent systems
Neural networks
AI-based software engineering,
Bioinformatics and its applications in engineering, medicine, biology, education, business and social sciences