****Apologies for cross-posting**** 17th International Conference on Machine Learning and Applications 17-20 December 2018, Orlando Florida
ICMLA 2018 aims to bring together researchers and practitioners to present their latest achievements and innovations in the area of machine learning (ML). http://www.icmla-conference.org/icmla18/callforpapers.html 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. Contributions describing applications of machine learning (ML) techniques to real-world problems, interdisciplinary research involving machine learning, experimental and/or theoretical studies yielding new insights into the design of ML systems, and papers describing development of new analytical frameworks that advance practical machine learning methods are especially encouraged. Important Dates: Special Sessions/Tutorial Proposals: *Submission Deadline: May 1, 2018* Main Conference Papers: *Submission Deadline: July 5, 2018* Special Sessions Papers: *Submission Deadline: September 7, 2018 * The ICMLA Conference: December 17-20, 2018 The ICMLA Organization Committee Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 m...@isep.ipp.pt | www.isep.ipp.pt _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
