Journal of Labor and Childbirth

Machine Applications

 Machine Learning is an international medium for research into machine learning strategies. The journal publishes papers that provide empirical findings on a broad range of methods of learning applied to a number of learning issues. The journal contains articles detailing work on problems and processes, work into implementations, and research methodology issues. Papers contending with learning difficulties or approaches provide strong support through empirical research, theoretical analysis or connection with psychological phenomena. Application papers show how learning methods can be applied to solve important problems in apps. Methodology research papers improve the way research into machine learning is conducted. Each paper explains the supporting evidence in ways that other researchers may check or reproduce. The papers also clearly outline the learning aspect and address assumptions concerning the representation of information  

High Impact List of Articles

Relevant Topics in Material Science