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Exact inference and learning in hybrid Bayesian Networks for lane change intention classification

Research article (2017 IEEE Intelligent Vehicles Symposium (IV), 2017) · cited 13× · AI/ML
academia openalex:W2740072693
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Exact inference and learning in hybrid Bayesian Networks for lane change intention classification

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Exact inference and learning in hybrid Bayesian Networks for lane change intention classification is a scholarly article[1].

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  • Exact inference and learning in hybrid Bayesian Networks for lane change intention classification's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Exact inference and learning in hybrid Bayesian Networks for lane change intention classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/exact-inference-and-learning-in-hybrid-bayesian-networks-for-lane-change-intention-classification
MLA “Exact inference and learning in hybrid Bayesian Networks for lane change intention classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exact-inference-and-learning-in-hybrid-bayesian-networks-for-lane-change-intention-classification.
BibTeX @misc{4ortxyz_exact-inference-and-learning-in-hybrid-bayesian-networks-for-lane-change-intention-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exact inference and learning in hybrid Bayesian Networks for lane change intention classification}}, year = {2026}, url = {https://4ort.xyz/entity/exact-inference-and-learning-in-hybrid-bayesian-networks-for-lane-change-intention-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exact inference and learning in hybrid Bayesian Networks for lane change intention classification — https://4ort.xyz/entity/exact-inference-and-learning-in-hybrid-bayesian-networks-for-lane-change-intention-classification (retrieved 2026-05-24)

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