ICMLC - ACM 2017 : 9th International Conference on Machine Learning and Computing
Call For Papers
Welcome to meet us in ICMLC 2017 in Singapore during February 24-26, 2017, share the valuable experiences with the scientist and scholars around the world. We would like to invite you to contribute to and participate in ICMLC 2017, which will be held in Singapore.
ICMLC aims to provide a high level international forum to bring together industry professionals, academics, and individuals from institutions, industrials and government agencies to exchange information, share achievements, and discus the advancement in the fields of Machine Learning and Computing, etc.
ICMLC 2017 proceedings will be published in the International Conference Proceedings Series by ACM, which will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).
Proceedings ISBN: 978-1-4503-4783-9
Paper Topic / Please visit http://www.icmlc.org/index.php?m=content&c=index&a=lists&catid=146 for more topics that we can accepte.
Adaptive systems Neural net and support vector machine
Business intelligence Hybrid and nonlinear system
Biometrics Fuzzy set theory, fuzzy control and system
Bioinformatics Knowledge management
Data and web mining Information retrieval
Intelligent agent Intelligent and knowledge based system
Financial engineering Rough and fuzzy rough set
Inductive learning Networking and information security
Geo-informatics Evolutionary computation
Pattern Recognition Ensemble method
Logistics Information fusion
Intelligent control Visual information processing
Media computing Computational life science
You can find the specific paper template via http://www.icmlc.org/index.php?m=content&c=index&a=lists&catid=24
1. Full Paper (Oral Presentation and publication)
2. Abstract (Oral Presentation only)
Please submit your abstract/full paper to: [firstname.lastname@example.org] or our system[Electronic Submission System:http://www.easychair.org/conferences/?conf=icmlc2017]
Ms. Kiko Xu