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pdfformat: 

@InProceedings{milovanov:LIPIcs:2016:5755, author = {Alexey Milovanov}, title = {{Algorithmic Statistics, Prediction and Machine Learning}}, booktitle = {33rd Symposium on Theoretical Aspects of Computer Science (STACS 2016)}, pages = {54:154:13}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {9783959770019}, ISSN = {18688969}, year = {2016}, volume = {47}, editor = {Nicolas Ollinger and Heribert Vollmer}, publisher = {Schloss DagstuhlLeibnizZentrum fuer Informatik}, address = {Dagstuhl, Germany}, URL = {http://drops.dagstuhl.de/opus/volltexte/2016/5755}, URN = {urn:nbn:de:0030drops57550}, doi = {10.4230/LIPIcs.STACS.2016.54}, annote = {Keywords: algorithmic information theory, minimal description length, prediction, kolmogorov complexity, learning} }
Keywords:  algorithmic information theory, minimal description length, prediction, kolmogorov complexity, learning  
Seminar:  33rd Symposium on Theoretical Aspects of Computer Science (STACS 2016)  
Issue Date:  2016  
Date of publication:  16.02.2016 