The 9th Asian Conference on Machine Learning (ACML 2017) will take place on November 15 – 17, 2017 at Baekyang Hall of Yonsei University campus, Seoul, Korea. We invite professionals and researchers to discuss research results and ideas in machine learning. We seek original and novel research papers resulting from theory and experiment of machine learning. The conference also solicits proposals focusing on disruptive ideas and paradigms within the scope. We encourage submissions from all parts of the world, not only confined to the Asia–Pacific region.<br>We are running two publication tracks following the last year′s practice: authors may submit either to the conference track, for which the proceedings will be published as a volume of Proceeding of Machine Learning Research (PMLR) series, or to the journal track for which accepted papers will appear in a special issue of the Machine Learning Journal.<br>Please note that submission arrangements for the two tracks are different.<br>Submission guidelines: http://www.acml–conf.org/2017/authors/call–for… Scope<br>Topics of interest include but are not limited to:<br>– Learning problems<br>Active learning, Bayesian machine learning, Deep learning, latent variable models, Dimensionality reduction, Feature selection, Graphical models, Learning for big data, Learning in graphs, Multiple instance learning, Multi–objective learning, Multi–task learning, Semi–supervised learning, Sparse learning, Structured output learning, Supervised learning, Online learning, Transfer learning, Unsupervised learning<br>– Analysis of learning systems<br>Computational learning theory, Experimental evaluation, Knowledge refinement, Reproducible research, Statistical learning theory<br>– Applications<br>Bioinformatics, Biomedical information, Collaborative filtering, Healthcare, Computer vision, Human activity recognition, Information retrieval, Natural language processing, Social networks, Web search<br>– Learning in knowledge–intensive systems<br>Knowledge refinement and theory revision, Multi–strategy learning, Other systems<br>
Abbrevation
ACML
City
Seoul
Country
North Korea
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