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MLMI 2023 : 2023 The 6th International Conference on Machine Learning and Machine Intelligence (MLMI 2023) | |||||||||||
Link: http://www.mlmi.net/ | |||||||||||
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Call For Papers | |||||||||||
Full name: 2023 The 6th International Conference on Machine Learning and Machine Intelligence (MLMI 2023)
Abbreviation: MLMI 2023 *The 6th International Conference on Machine Learning and Machine Intelligence (MLMI 2023)* Chongqing, China | October 27-29, 2023 The 6th International Conference on Machine Learning and Machine Intelligence (MLMI 2023) will be held in Chongqing, China during October 27-29, 2023. MLMI 2023 is organized by Chongqing University of Posts and Telecommunications, China, and hosted by School of Automation, Chongqing University of Posts and Telecommunications, China Insightful presentations, engaging discussions, vibrant networking – MLMI 2023 has it all. With leading academics on the scientific committee of the event, the program is guaranteed to address the most relevant topics in the field of machine learning and machine intelligence. It's an opportunity to source feedback on your research, to get published in conference proceedings, and to explore the beautiful city Chongqing, China. ☑Publication Accepted papers of MLMI 2023 after proper registration and presentation will be published in the Conference Proceedings, which will be submitted for indexing by Ei Compendex, Scopus, etc. (*All the previous Conference Proceedings have been archived in ACM Digital Library and have been indexed by Ei Compendex & Scopus.) ☑Topics Topics of interest for submission include, but are not limited to: - Artificial Neural Networks - Genetic Algorithms - Association Rule Learning - Inductive Logic Programming - Automata, Logic and Games - Intelligent Systems - Bayesian Networks - Lambda Calculus and Types - Clustering - Logic and Proof - Commercial Software - Machine Learning - Commercial Software with Open-Source Editions - Models of Computation - Complex Systems - Object-Oriented Programming - Computational Complexity - Open-Source Software - Computational Learning Theory - Pattern Recognition - Computational Linguistics - Reinforcement Learning - Computer Animation - Representation Learning - Computer Science - Similarity and Metric Learning - Computer System - Sparse Dictionary Learning - Concurrent Algorithms and Data Structures - Supervised Learning - Data Mining - Support Vector Machines - Decision Tree Learning - Unsupervised Learning - Deep Learning For more topics, please visit: http://www.mlmi.net/cfp.html ☑Submission Guideline ♢ English is the official language. Paper should be prepared in English. ♢ Abstract submission is for presentation only without publication. ♢ Full paper submission is for both presentation and publication. (No less than 8 pages) ♢ Submission Methods: - By online submission system: http://confsys.iconf.org/submission/mlmi2023 - Or Submit to mlmi@iacsit.net as attachment For more details, please visit: http://www.mlmi.net/submission.html ☑Chongqing University of Posts and Telecommunications, China Founded in 1950, Chongqing University of Posts and Telecommunications (CQUPT) is a post-telecom university deployed and constructed emphatically by Chinese government. With the full sponsorship from MIIT (Ministry of Industry and Information Technology) and Chongqing Municipality, the university is a multidisciplinary teaching and research institution that plays a leading role in the field of information communications. The university is located in Chongqing city, southwest of China. Within 72 years, CQUPT has cultivated over 140,000 specialists in a variety of fields, and has won national technology innovation awards in the field of information industry and is the national model base of advanced technology industrialization. The university is recognized as the Cradle of Information Technology Specialists and the Birthplace of Digital Communications in China. ☑Contact Us Conference Secretary: Miss Joie Wu Email: mlmi@iacsit.net Tel: +86-18302820449 Website: http://mlmi.net/ Office Hour: Monday-Friday, 9:30-18:00 (GMT+8) |
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