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Interpretable knowledge-guided framework for modeling reservoir water-sensitivity damage based on Light Gradient Boosting Machine using Bayesian optimization and hybrid feature mining
Research article (Engineering Applications of Artificial Intelligence, 2024) · cited 13× · AI/ML
Interpretable knowledge-guided framework for modeling reservoir water-sensitivity damage based on Light Gradient Boosting Machine using Bayesian optimization and hybrid feature mining
Summary
Interpretable knowledge-guided framework for modeling reservoir water-sensitivity damage based on Light Gradient Boosting Machine using Bayesian optimization and hybrid feature mining is a scholarly article[1].
Key Facts
Interpretable knowledge-guided framework for modeling reservoir water-sensitivity damage based on Light Gradient Boosting Machine using Bayesian optimization and hybrid feature mining's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Interpretable knowledge-guided framework for modeling reservoir water-sensitivity damage based on Light Gradient Boosting Machine using Bayesian optimization and hybrid feature mining. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretable-knowledge-guided-framework-for-modeling-reservoir-water-sensitivity-damage-based-on-light-gradient-boostin
MLA“Interpretable knowledge-guided framework for modeling reservoir water-sensitivity damage based on Light Gradient Boosting Machine using Bayesian optimization and hybrid feature mining.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretable-knowledge-guided-framework-for-modeling-reservoir-water-sensitivity-damage-based-on-light-gradient-boostin.
BibTeX@misc{4ortxyz_interpretable-knowledge-guided-framework-for-modeling-reservoir-water-sensitivity-damage-based-on-light-gradient-boostin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretable knowledge-guided framework for modeling reservoir water-sensitivity damage based on Light Gradient Boosting Machine using Bayesian optimization and hybrid feature mining}}, year = {2026}, url = {https://4ort.xyz/entity/interpretable-knowledge-guided-framework-for-modeling-reservoir-water-sensitivity-damage-based-on-light-gradient-boostin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Interpretable knowledge-guided framework for modeling reservoir water-sensitivity damage based on Light Gradient Boosting Machine using Bayesian optimization and hybrid feature mining — https://4ort.xyz/entity/interpretable-knowledge-guided-framework-for-modeling-reservoir-water-sensitivity-damage-based-on-light-gradient-boostin (retrieved 2026-05-24)
