About the Journal

Journal of Machine Learning Approach (JOMLA) is an international journal, publishes high-quality research papers in the broad field of Machine Learning, Soft Computing, and Artificial Intelligence, which encompasses algorithms, computation, and social impact of machine learning implementation.

Journal of Machine Learning Approach (JOMLA) is published twice a Year, in February and August. All submissions are double-blind reviewed by peer reviewers. All paper must be submitted in ENGLISH using Ms Word or Latex Template provided. Journal of Machine Learning Approach (JOMLA) has P-ISSN : xxxx-xxxx (Will be submitted) and E-ISSN : xxxx-xxxx (Will be submitted) .

Focus and Scope

Journal of Machine Learning Approach (JOMLA) accepts scientific research articles, review articles, and final project reports from the following fields :

• Machine learning : Supervised Learning, Unsupervised Learning, Reinforcement Learning, Multi-Task Learning.
• Artificial intelligence : Natural Language Processing, Knowledge Representation and Reasoning, Computer Vision, Automated Planning and Scheduling, Search Methodology, Control method, Philosophy of Artificial Intelligence, Distributed Artificial Intelligence.
• Soft Computing : Deterministic Method, Evolutionary Approach, Metaheuristic and Swarm Intelligence, Probabilistic and Statistical Method.
• Theory of computation : Model of Computation, Computational Complexity
• Algorithms : Algorithm Design, Analysis of Algorithms
• Mathematics of computing : Discrete Mathematics, Mathematical Software, Information Theory
• Social Impact of Machine Learning Implementation