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Vol. 2, Issue 4, December 2017
Frequency: Quarterly
Machine Learning Research (MLR) is a scholarly open access, peer-reviewed, and fully refereed journal. This journal provides a unified forum for researchers and scientists to share the latest research and developments in all areas of machine learning. Articles presenting original research in the field, highlighting methodological aspects and providing experimental evidences on specific problems and all aspects of machine learning are expected for publishing in this journal. The topics related to this journal include but are not limited to:
Biological Justification
Adaptive Control
Big Data
Cognitive Model
Cognitive Science
Brain-Machine Interfaces
Cheminformatics
Object Recognition
Machine Perception
Search Engines
Computational Neuroscience
Machine Teaching
Automatic Reasoning
Computational Anatomy
Internet Fraud Detection
Cheminformatics
Editorial Board
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Kamalanand Krishnamurthy Department of Instrumentation Engineering, MIT Campus, Anna University
Chennai, Tamil nadu, India
Fuming Sun
School of Electronics and Information Engineering, Liaoning University of Technology
Jinzhou, Liaoning Province, China
Suma Swamy
Department of Computer Science and Engineering, Sir M. Visvesvaraya Institute of Technology
Bengaluru, Karnataka, India
Fadhlan Hafizhelmi Kamaru Zaman
Faculty of Electrical Engineering, Universiti Teknologi MARA
Shah Alam, Selangor, Malaysia
Peer Reviewers
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Apdullah Yayık
Department of Computer Engineering, National Defence University
Ankara, Turkey
Yongjun Li
School of Physics and Electronics, Henan University,
Kaifeng, Henan, China
Ziad Salem
Artificial Life Lab of the Department of Zoology, Karl-Franzens-University
Graz, Styria, Austria
Tao Zhang
Department of Computer Science, Jiangnan University
Wuxi, Jiangsu, China
Related SciencePG Frontiers
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