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Applying the Gaussian Mixture Model to Generate Large Synthetic Data from a Small Data Set

Research article (Construction Research Congress 2020, 2020) · cited 32× · AI/ML
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Applying the Gaussian Mixture Model to Generate Large Synthetic Data from a Small Data Set

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Applying the Gaussian Mixture Model to Generate Large Synthetic Data from a Small Data Set is a scholarly article[1].

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  • Applying the Gaussian Mixture Model to Generate Large Synthetic Data from a Small Data Set's instance of is recorded as scholarly article[2].

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Supratik Mukhopadhyay

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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). Applying the Gaussian Mixture Model to Generate Large Synthetic Data from a Small Data Set. Retrieved May 24, 2026, from https://4ort.xyz/entity/applying-the-gaussian-mixture-model-to-generate-large-synthetic-data-from-a-small-data-set
MLA “Applying the Gaussian Mixture Model to Generate Large Synthetic Data from a Small Data Set.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/applying-the-gaussian-mixture-model-to-generate-large-synthetic-data-from-a-small-data-set.
BibTeX @misc{4ortxyz_applying-the-gaussian-mixture-model-to-generate-large-synthetic-data-from-a-small-data-set_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Applying the Gaussian Mixture Model to Generate Large Synthetic Data from a Small Data Set}}, year = {2026}, url = {https://4ort.xyz/entity/applying-the-gaussian-mixture-model-to-generate-large-synthetic-data-from-a-small-data-set}, note = {Accessed: 2026-05-24}}
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