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Algorithms for interpretable machine learning

Eliana Pastor

Algorithms for interpretable machine learning.

Rel. Elena Maria Baralis. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2017

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Analysis of algorithms for improving classification model interpretability and proposal of a novel explanation method for explaining individual predictions

Relators: Elena Maria Baralis
Academic year: 2017/18
Publication type: Electronic
Number of Pages: 125
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/6437
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