Lukas Pfannschmidt
Lukas Pfannschmidt
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Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information
Advances in machine learning technologies have led to increasingly powerful models in particular in the context of big data. Yet, many …
Lukas Pfannschmidt
,
Jonathan Jakob
,
Fabian Hinder
,
Michael Biehl
,
Peter Tino
,
Barbara Hammer
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Interpretation of Linear Classifiers by Means of Feature Relevance Bounds
Research on feature relevance and feature selection problems goes back several decades, but the importance of these areas continues to …
Christina Göpfert
,
Lukas Pfannschmidt
,
Jan Philip Göpfert
,
Barbara Hammer
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