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Random projections and kernelised leave one cluster out cross validation: universal baselines and evaluation tools for supervised machine learning of material properties
Research article (Digital Discovery, 2022) · cited 22× · AI/ML
Random projections and kernelised leave one cluster out cross validation: universal baselines and evaluation tools for supervised machine learning of material properties
Summary
Random projections and kernelised leave one cluster out cross validation: universal baselines and evaluation tools for supervised machine learning of material properties is a scholarly article[1].
Key Facts
Random projections and kernelised leave one cluster out cross validation: universal baselines and evaluation tools for supervised machine learning of material properties's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Random projections and kernelised leave one cluster out cross validation: universal baselines and evaluation tools for supervised machine learning of material properties. Retrieved May 24, 2026, from https://4ort.xyz/entity/random-projections-and-kernelised-leave-one-cluster-out-cross-validation-universal-baselines-and-evaluation-tools-for-su
MLA“Random projections and kernelised leave one cluster out cross validation: universal baselines and evaluation tools for supervised machine learning of material properties.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/random-projections-and-kernelised-leave-one-cluster-out-cross-validation-universal-baselines-and-evaluation-tools-for-su.
BibTeX@misc{4ortxyz_random-projections-and-kernelised-leave-one-cluster-out-cross-validation-universal-baselines-and-evaluation-tools-for-su_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Random projections and kernelised leave one cluster out cross validation: universal baselines and evaluation tools for supervised machine learning of material properties}}, year = {2026}, url = {https://4ort.xyz/entity/random-projections-and-kernelised-leave-one-cluster-out-cross-validation-universal-baselines-and-evaluation-tools-for-su}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Random projections and kernelised leave one cluster out cross validation: universal baselines and evaluation tools for supervised machine learning of material properties — https://4ort.xyz/entity/random-projections-and-kernelised-leave-one-cluster-out-cross-validation-universal-baselines-and-evaluation-tools-for-su (retrieved 2026-05-24)
