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PC–SPSA: Employing Dimensionality Reduction to Limit SPSA Search Noise in DTA Model Calibration

Research article (IEEE Transactions on Intelligent Transportation Systems, 2019) · cited 32× · AI/ML
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PC–SPSA: Employing Dimensionality Reduction to Limit SPSA Search Noise in DTA Model Calibration

Summary

PC–SPSA: Employing Dimensionality Reduction to Limit SPSA Search Noise in DTA Model Calibration is a scholarly article[1].

Key Facts

  • PC–SPSA: Employing Dimensionality Reduction to Limit SPSA Search Noise in DTA Model Calibration's instance of is recorded as scholarly article[2].

References

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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). PC–SPSA: Employing Dimensionality Reduction to Limit SPSA Search Noise in DTA Model Calibration. Retrieved May 24, 2026, from https://4ort.xyz/entity/pcspsa-employing-dimensionality-reduction-to-limit-spsa-search-noise-in-dta-model-calibration
MLA “PC–SPSA: Employing Dimensionality Reduction to Limit SPSA Search Noise in DTA Model Calibration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pcspsa-employing-dimensionality-reduction-to-limit-spsa-search-noise-in-dta-model-calibration.
BibTeX @misc{4ortxyz_pcspsa-employing-dimensionality-reduction-to-limit-spsa-search-noise-in-dta-model-calibration_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PC–SPSA: Employing Dimensionality Reduction to Limit SPSA Search Noise in DTA Model Calibration}}, year = {2026}, url = {https://4ort.xyz/entity/pcspsa-employing-dimensionality-reduction-to-limit-spsa-search-noise-in-dta-model-calibration}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PC–SPSA: Employing Dimensionality Reduction to Limit SPSA Search Noise in DTA Model Calibration — https://4ort.xyz/entity/pcspsa-employing-dimensionality-reduction-to-limit-spsa-search-noise-in-dta-model-calibration (retrieved 2026-05-24)

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