Mencía, Eneldo Loza; Fürnkranz, Johannes; Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108 and Rapp, Michael ORCID: https://orcid.org/0000-0001-8570-8240
(2018):
Learning Interpretable Rules for Multi-Label Classification.
In: Jair Escalante, Hugo; Escalera, Sergio; Guyon, Isabelle; Baró, Xavier; Güçlütürk, Yağmur; Güçlü, Umut and Gerven, Marcel van (eds.) :
Explainable and Interpretable Models in Computer Vision and Machine Learning. The Springer Series on Challenges in Machine Learning, Cham: Springer. pp. 81-113
| Item Type: | Book Section |
|---|---|
| Faculties: | Mathematics, Computer Science and Statistics > Computer Science > Artificial Intelligence and Machine Learning |
| Subjects: | 000 Computer science, information and general works > 004 Data processing computer science |
| ISBN: | 978-3-319-98130-7 ; 978-3-319-98131-4 |
| Place of Publication: | Cham |
| Language: | English |
| Item ID: | 91735 |
| Date Deposited: | 01. Apr 2022, 12:52 |
| Last Modified: | 03. Mar 2023, 13:26 |
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