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Bayesian learning of Gaussian mixture model for calculating debris flow exceedance probability

Research article (Georisk Assessment and Management of Risk for Engineered Systems and Geohazards, 2022) · cited 19× · AI/ML
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Bayesian learning of Gaussian mixture model for calculating debris flow exceedance probability

Summary

Bayesian learning of Gaussian mixture model for calculating debris flow exceedance probability is a scholarly article[1].

Key Facts

  • Bayesian learning of Gaussian mixture model for calculating debris flow exceedance probability's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Bayesian learning of Gaussian mixture model for calculating debris flow exceedance probability. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-learning-of-gaussian-mixture-model-for-calculating-debris-flow-exceedance-probability
MLA “Bayesian learning of Gaussian mixture model for calculating debris flow exceedance probability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bayesian-learning-of-gaussian-mixture-model-for-calculating-debris-flow-exceedance-probability.
BibTeX @misc{4ortxyz_bayesian-learning-of-gaussian-mixture-model-for-calculating-debris-flow-exceedance-probability_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian learning of Gaussian mixture model for calculating debris flow exceedance probability}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-learning-of-gaussian-mixture-model-for-calculating-debris-flow-exceedance-probability}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bayesian learning of Gaussian mixture model for calculating debris flow exceedance probability — https://4ort.xyz/entity/bayesian-learning-of-gaussian-mixture-model-for-calculating-debris-flow-exceedance-probability (retrieved 2026-05-24)

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