Home ›
Entities
› academia
› Exploring the potential of deep factorization machine and various gradient boosting models in modeling daily reference evapotranspiration in China
Exploring the potential of deep factorization machine and various gradient boosting models in modeling daily reference evapotranspiration in China
Research article (Arabian Journal of Geosciences, 2020) · cited 48× · AI/ML
Exploring the potential of deep factorization machine and various gradient boosting models in modeling daily reference evapotranspiration in China
Summary
Exploring the potential of deep factorization machine and various gradient boosting models in modeling daily reference evapotranspiration in China is a scholarly article[1].
Key Facts
Exploring the potential of deep factorization machine and various gradient boosting models in modeling daily reference evapotranspiration in China's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Exploring the potential of deep factorization machine and various gradient boosting models in modeling daily reference evapotranspiration in China. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploring-the-potential-of-deep-factorization-machine-and-various-gradient-boosting-models-in-modeling-daily-reference-e
MLA“Exploring the potential of deep factorization machine and various gradient boosting models in modeling daily reference evapotranspiration in China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploring-the-potential-of-deep-factorization-machine-and-various-gradient-boosting-models-in-modeling-daily-reference-e.
BibTeX@misc{4ortxyz_exploring-the-potential-of-deep-factorization-machine-and-various-gradient-boosting-models-in-modeling-daily-reference-e_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploring the potential of deep factorization machine and various gradient boosting models in modeling daily reference evapotranspiration in China}}, year = {2026}, url = {https://4ort.xyz/entity/exploring-the-potential-of-deep-factorization-machine-and-various-gradient-boosting-models-in-modeling-daily-reference-e}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploring the potential of deep factorization machine and various gradient boosting models in modeling daily reference evapotranspiration in China — https://4ort.xyz/entity/exploring-the-potential-of-deep-factorization-machine-and-various-gradient-boosting-models-in-modeling-daily-reference-e (retrieved 2026-05-24)
