Towards a Theory for Designing Machine Learning Systems for Complex Decision Making Problems - Couverture souple

Tofangchi, Schahin

 
9783736972001: Towards a Theory for Designing Machine Learning Systems for Complex Decision Making Problems
Couverture souple
ISBN 10 : 3736972008 ISBN 13 : 9783736972001
Editeur : Cuvillier, 2020

Synopsis

The ubiquitousness of data and the emergence of data-driven machine learning approaches provide new means of creating insights. However, coping with the great volume, velocity, and variety of data requires improved data analysis methods. This dissertation contributes a nascent design theory, named the Division-of-Labor framework, for developing complex machine learning systems that can not only address the challenges of big data but also leverage their characteristics to perform more sophisticated analyses. I evaluate the proposed design principles in three practical settings, in which I apply the principles to design machine learning systems that (i) support treatment decision making for cancer patients, (ii) provide consumers with recommendations on two-sided platforms, and (iii) address a trade-off between efficiency and comfort in the context of autonomous vehicles. The evaluations partially validate the proposed theory, but also show that some principles require further attention in order to be practicable.

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Éditeur
Cuvillier
Date d'édition
2020
Langue
anglais
ISBN 10 
3736972008
ISBN 13 
9783736972001
Reliure
Broché
Nombre de pages
202
Coordonnées du fabricant
info@cuvillier.de
info@cuvillier.de

Nonnenstieg 8
Göttingen
37075
Allemagne