The Department of Probability and Statistics organised a workshop about the hot topic of Climate Risk in November, 2022. There were quite a few interesting
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The Department of Probability and Statistics organised a workshop about the hot topic of Climate Risk in November, 2022. There were quite a few interesting
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Neural network – based approximation of Dirichlet-to-Neumann maps are shown, as part of our major project in machine learning.
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Diacritics restoration became a ubiquitous task in the Latin-alphabet-based English-dominated Internet language environment. We showcase a small footprint 1D convolution-based solution, running in a web
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There is now a great deal of interest in parameter estimation of Ornstein-Uhlenbeck processes in finance because of its modelling capability (see e.g. [1]). That
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A new program has started for graduates at Eötvös Loránd University: This program is for those, who want to be among the winners of the
Read moreWe report here a promising approach to use neural networks for the efficient numerical solution of boundary value problems. According to the theory of boundary
Read moreFor more than a decade data mining, including machine learning has been an active topic of research and teaching at the Mathematical Institute at the
Read moreResearch on mathematical modelling of infectious diseases has been carried out at the Bolyai Institute of the University of Szeged for already 12 years. Earlier
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This post is a follow-up on our previous one from 2019: In that one we discussed Markov chain-based cost-optimal control charts briefly and gave an
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After two years of preparation, our new MSc program in Applied Mathematics starts this September, with approx. 10 students, mainly from the Hungarian
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