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Using high-fidelity meta-models to improve performance of small dataset trained Bayesian Networks

Research article (Expert Systems with Applications, 2019) · cited 25× · AI/ML
academia openalex:W2963560899
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Using high-fidelity meta-models to improve performance of small dataset trained Bayesian Networks

Summary

Using high-fidelity meta-models to improve performance of small dataset trained Bayesian Networks is a scholarly article[1].

Key Facts

  • Using high-fidelity meta-models to improve performance of small dataset trained Bayesian Networks's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Using high-fidelity meta-models to improve performance of small dataset trained Bayesian Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-high-fidelity-meta-models-to-improve-performance-of-small-dataset-trained-bayesian-networks
MLA “Using high-fidelity meta-models to improve performance of small dataset trained Bayesian Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-high-fidelity-meta-models-to-improve-performance-of-small-dataset-trained-bayesian-networks.
BibTeX @misc{4ortxyz_using-high-fidelity-meta-models-to-improve-performance-of-small-dataset-trained-bayesian-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using high-fidelity meta-models to improve performance of small dataset trained Bayesian Networks}}, year = {2026}, url = {https://4ort.xyz/entity/using-high-fidelity-meta-models-to-improve-performance-of-small-dataset-trained-bayesian-networks}, note = {Accessed: 2026-05-24}}
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