Finding the Most Interpretable MDS Rotation for Sparse Linear Models based on External Features

Résultats de recherche

• Interpretability and Explainability in Machine Learning and their Application to Nonlinear Dimensionality Reduction

  Auteur: Bibal, A., 16 nov. 2020

  Superviseur: FRENAY, B. (Promoteur), VANHOOF, W. (Président), Cleve, A. (Jury), Dumas, B. (Jury), Lee, J. A. (Personne externe) (Jury) & Galarraga, L. A. (Personne externe) (Jury)

  Student thesis: Doc types › Docteur en Sciences

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