Foundations of Unsupervised Learning
نویسندگان
چکیده
This report documents the program and the outcomes of Dagstuhl Seminar 16382 “Foundations of Unsupervised Learning”. Unsupervised learning techniques are frequently used in practice of data analysis. However, there is currently little formal guidance as to how, when and to what effect to use which unsupervised learning method. The goal of the seminar was to initiate a broader and more systematic research on the foundations of unsupervised learning with the ultimate aim to provide more support to practitioners. The seminar brought together academic researchers from the fields of theoretical computer science and statistics as well as some researchers from industry. Seminar September 18–23, 2016 – http://www.dagstuhl.de/16382 1998 ACM Subject Classification I.2.6 Learning, H.3.3 Information Search and Retrieval
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