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Paper: Measurement/Simulation Mismatches and Multivariate Data Discretization in the Machine Learning Era
Volume: 522, Astronomical Data Analysis Software and Systems XXVII
Page: 431
Authors: Börner, M.; Hoinka, T.; Meier, M.; Menne, T.; Rhode, W.; Morik, K.
Abstract: In the era of machine learning and usage of high dimensional data many analyses in astroparticle physics face similar problems. This contribution presents approaches to face two typical challenges in the field: verify agreement between simulated and measured data and binning in multiple dimensions while preserving sufficient statistics. The presented approaches are based on widely used machine learning algorithms making them easy to use and providing good scalability in terms of size and dimensionality of the used data.
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