ICMLA 2017 - 16th IEEE International Conference on Machine Learning and Applications

16th IEEE International Conference on Machine Learning and Applications
Cancun, Mexico
Dec 18 ? 21, 2017
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ICMLA 2017 aims to bring together researchers and practitioners to present their latest achievements and innovations in the area of machine learning (ML).
The conference provides a leading international forum for the dissemination of original research in ML, with emphasis on applications as well as novel algorithms and systems. Following the success of previous ICMLA conferences, the conference aims to attract researchers and application developers from a wide range of ML related areas, and the recent emergence of Big Data processing brings an urgent need for machine learning to address these new challenges. The conference will cover both machine learning theoretical research and its applications. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning, in fields like medicine, biology, industry, manufacturing, security, education, virtual environments, games, are especially encouraged. The technical program will consist of, but is not limited to, the following topics of interest:
Statistical learning
Neural network learning
Learning through fuzzy logic
Learning through evolution
Reinforcement learning
Multi-strategy learning
Cooperative learning
Planning and learning
Multi-agent learning
Online and incremental learning
Scalability of learning algorithms
Inductive learning
Inductive logic programming
Bayesian networks
Support vector machines
Case-based reasoning
Grammatical inference
Knowledge acquisition and learning
Knowledge discovery in databases
Knowledge intensive learning
Knowledge representation and reasoning
Machine learning for information retrieval
Learning through mobile data mining
Machine learning for web navigation& mining
Text and multimedia mining
Feature extraction and classification
Distributed and parallel learning algorithms and applications
Computational learning theory
Theories and models for plausible reasoning
Cognitive modeling
Hybrid learning algorithms
Multi-lingual knowledge acquisition and representation
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Applications of machine learning in:
Medicine and health informatics
Bioinformatics and systems biology
Industrial and engineering applications Security
Smart cities
Game playing and problem solving
Intelligent virtual environments
Economics, business and forecasting
The conference will include a number of interesting keynote plenary talks, which will be announced on the conference web site as arrangements are finalized.
Previous invited speakers included numerous fellows of IEEE, AMIA, AAAS, AAAI, etc.
Prospective authors are invited to submit eight pages manuscript describing original work.
The manuscript has to be written in English and in PDF format.
Please visit the conference website for details: http://www.icmla-conference.org/icmla17/
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Key dates:
Paper Submission Deadline: Main Conference: July 6, 2017
Special Sessions/Workshops/Challenges: August 6, 2017
Notification of Acceptance: September 9, 2017
Camera-ready Papers: October 1, 2017
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Organizing Committee:
General Chair
Bill Chen
Wayne State University
Conference Chair
Bo Luo
The University of Kansas
Program Co-Chairs
Vasile Palade
Conventry University
Feng Luo
Clemson University
Workshop and Special Session Chair
Yanjie Fu
Missouri University of Science and Technology