# Adaptive Candidate Restriction for Scalable Random-Forest Bayesian Optimisation: Matched Accuracy at a Fraction of the Acquisition Cost

_Computer Modeling in Engineering & Sciences · Irfan Khan, Saqib Alam, Ramesh Kumar Ayyasamy et al. · 2026_

Canonical: https://diginpl.com/books/paper-cmes-2026-088979
Last updated: 2026-10-04

## Quick facts

- **Author:** Irfan Khan; Saqib Alam; Ramesh Kumar Ayyasamy; Miao Zhang ([Crossref](https://doi.org/10.32604/cmes.2026.088979))
- **Published:** 2026 ([Crossref](https://doi.org/10.32604/cmes.2026.088979))
- **Publisher:** Tech Science Press ([Crossref](https://doi.org/10.32604/cmes.2026.088979))
- **Journal:** Computer Modeling in Engineering & Sciences ([Crossref](https://doi.org/10.32604/cmes.2026.088979))
- **DOI:** 10.32604/cmes.2026.088979 ([Crossref](https://doi.org/10.32604/cmes.2026.088979))

## Questions

**Who wrote Adaptive Candidate Restriction for Scalable Random-Forest Bayesian Optimisation: Matched Accuracy at a Fraction of the Acquisition Cost?**  
Adaptive Candidate Restriction for Scalable Random-Forest Bayesian Optimisation: Matched Accuracy at a Fraction of the Acquisition Cost was written by Irfan Khan, Saqib Alam, Ramesh Kumar Ayyasamy, Miao Zhang.

**When was Adaptive Candidate Restriction for Scalable Random-Forest Bayesian Optimisation: Matched Accuracy at a Fraction of the Acquisition Cost first published?**  
Adaptive Candidate Restriction for Scalable Random-Forest Bayesian Optimisation: Matched Accuracy at a Fraction of the Acquisition Cost was first published in 2026.

## Sources

- [Publisher record (DOI, via Crossref)](https://doi.org/10.32604/cmes.2026.088979)

## Licence and attribution

Open-access publication. Read it free at the publisher: https://doi.org/10.32604/cmes.2026.088979.

## Cite this page

"Adaptive Candidate Restriction for Scalable Random-Forest Bayesian Optimisation: Matched Accuracy at a Fraction of the Acquisition Cost". DigiNepal. Last updated 4 October 2026. https://diginpl.com/books/paper-cmes-2026-088979. Retrieved 10 November 2026.