Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability
- DOI
- 10.1007/978-3-030-29726-8_4
- Published
- 2019
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-29726-8_4,
title = {Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability},
author = {Alex A. Freitas},
year = {2019},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-030-29726-8_4},
url = {https://doi.org/10.1007/978-3-030-29726-8_4}
}RIS
TY - JOUR TI - Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability AU - Alex A. Freitas PY - 2019 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-030-29726-8_4 UR - https://doi.org/10.1007/978-3-030-29726-8_4 ER -
APA
Freitas, A. A. (2019). Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-29726-8_4
Source records
- crossref · retrieved 2026-11-10T11:10:58.209Z