106 citations · 394 across the 16 of their papers we have counts for
Showing 2016Show all
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cs.LG2016★ 13 cited
Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning
A. N. Gorban, E. M. Mirkes, A. Zinovyev
Most of machine learning approaches have stemmed from the application of minimizing the mean squared distance principle, based on the computationally efficient quadratic optimizati…
stat.AP2016★ 49 cited
Handling missing data in large healthcare dataset: a case study of unknown trauma outcomes
E. M. Mirkes, T. J. Coats, J. Levesley +1
Handling of missed data is one of the main tasks in data preprocessing especially in large public service datasets. We have analysed data from the Trauma Audit and Research Network…
cs.DS2016
Robust principal graphs for data approximation
A. N. Gorban, E. M. Mirkes, A. Zinovyev
Revealing hidden geometry and topology in noisy data sets is a challenging task. Elastic principal graph is a computationally efficient and flexible data approximator based on embe…