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Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach
Research article (Transportation Letters, 2021) · cited 26× · AI/ML
Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach
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Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach is a scholarly article[1].
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Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/revisiting-kernel-logistic-regression-under-the-random-utility-models-perspective-an-interpretable-machine-learning-appr
MLA“Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/revisiting-kernel-logistic-regression-under-the-random-utility-models-perspective-an-interpretable-machine-learning-appr.
BibTeX@misc{4ortxyz_revisiting-kernel-logistic-regression-under-the-random-utility-models-perspective-an-interpretable-machine-learning-appr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach}}, year = {2026}, url = {https://4ort.xyz/entity/revisiting-kernel-logistic-regression-under-the-random-utility-models-perspective-an-interpretable-machine-learning-appr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach — https://4ort.xyz/entity/revisiting-kernel-logistic-regression-under-the-random-utility-models-perspective-an-interpretable-machine-learning-appr (retrieved 2026-05-24)
