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pro vyhledávání: '"Schaaf, Nina"'
This work introduces a novel interpretable machine learning method called Mixture of Decision Trees (MoDT). It constitutes a special case of the Mixture of Experts ensemble architecture, which utilizes a linear model as gating function and decision t
Externí odkaz:
http://arxiv.org/abs/2211.14617
Convolutional Neural Networks (CNN) have become de fact state-of-the-art for the main computer vision tasks. However, due to the complex underlying structure their decisions are hard to understand which limits their use in some context of the industr
Externí odkaz:
http://arxiv.org/abs/2107.00360
Autor:
Abdou, Kirolos, Schaaf, Nina, Struckmeier, Frederick, Braun, Jannik, Bhat Keelanje Srinivas, Pavan, Ottnad, Jens, Huber, Marco F.
Publikováno v:
In Resources, Conservation & Recycling June 2024 205
One obstacle that so far prevents the introduction of machine learning models primarily in critical areas is the lack of explainability. In this work, a practicable approach of gaining explainability of deep artificial neural networks (NN) using an i
Externí odkaz:
http://arxiv.org/abs/1904.05394