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Regular version of the site
Book chapter
Stochasticity in Algorithmic Statistics for Polynomial Time

Vereshchagin N., Milovanov A.

In bk.: 32nd Computational Complexity Conference. Вадерн: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, 2017. P. 1-18.

Working paper
Spatially Adaptive Computation Time for Residual Networks

Figurnov M., Collins M. D., Zhu Y. et al.

arXiv:1612.02297. arXiv. Cornell University, 2016

News

Machine Learning Becomes Major Research Field at Big Data and Information Retrieval School

Sergey Bartunov, Lecturer at the Big Data and Information Retrieval School, gave a talk about machine learning to first-year students. He mentioned theoretical issues and main applied problems that can be successfully solved using the methods of machine learning.

Best Presentations on Data Mining

SlideShare data mining presentations cover many topics, offering a unique way of consuming data mining content and exploring a variety of slideshows, both narrow and broad in scope.

'Big Data' Help Doctors Choose a Treatment Method

Over the course of 20 years, since the beginning of contemporary medicine’s transition into a digital format, a vast amount of largely unused data has amassed. The analysis of these data and the extraction of a new logic of control from them is one of the most popular areas of focus in applied mathematics, Oleg Pianykh, a Professor in HSE’s Department of Data Analysis and Artificial Intelligence and an Associate Professor at Harvard Medical School, said in a report. His report, 'Big Data in Medicine: How to Make them Work,' was presented at HSE’s academic seminar 'Mathematical Models of Information Technologies.'