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From machine learning to explainable AI
A Holzinger - 2018 world symposium on digital intelligence for …, 2018 - ieeexplore.ieee.org
The success of statistical machine learning (ML) methods made the field of Artificial
Intelligence (AI) so popular again, after the last AI winter. Meanwhile deep learning …
Intelligence (AI) so popular again, after the last AI winter. Meanwhile deep learning …
[КНИГА][B] Modern algorithms of cluster analysis
ST Wierzchoń, MA Kłopotek - 2018 - Springer
This chapter characterises the scope of this book. It explains the reasons why one should be
interested in cluster analysis, lists major application areas, basic theoretical and practical …
interested in cluster analysis, lists major application areas, basic theoretical and practical …
A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop
A Holzinger, M Plass, K Holzinger, GC Crisan… - ar** is to divide the set of objects into homogeneous groups: two arbitrary
objects belonging to the same group are more similar to each other than two arbitrary …
objects belonging to the same group are more similar to each other than two arbitrary …
On the systematic reduction of data complexity in multimodel atmospheric dispersion ensemble modeling
The aim of this work is to explore the effectiveness of theoretical information approaches for
the reduction of data complexity in multimodel ensemble systems. We first exploit a weak …
the reduction of data complexity in multimodel ensemble systems. We first exploit a weak …