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Multi-task Gaussian process for imputing missing data in multi-trait and multi-environment trials

Research article (Theoretical and Applied Genetics, 2016) · cited 24× · AI/ML
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Multi-task Gaussian process for imputing missing data in multi-trait and multi-environment trials

Summary

Multi-task Gaussian process for imputing missing data in multi-trait and multi-environment trials is a scholarly article[1].

Key Facts

  • Multi-task Gaussian process for imputing missing data in multi-trait and multi-environment trials'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). Multi-task Gaussian process for imputing missing data in multi-trait and multi-environment trials. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-task-gaussian-process-for-imputing-missing-data-in-multi-trait-and-multi-environment-trials
MLA “Multi-task Gaussian process for imputing missing data in multi-trait and multi-environment trials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-task-gaussian-process-for-imputing-missing-data-in-multi-trait-and-multi-environment-trials.
BibTeX @misc{4ortxyz_multi-task-gaussian-process-for-imputing-missing-data-in-multi-trait-and-multi-environment-trials_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-task Gaussian process for imputing missing data in multi-trait and multi-environment trials}}, year = {2026}, url = {https://4ort.xyz/entity/multi-task-gaussian-process-for-imputing-missing-data-in-multi-trait-and-multi-environment-trials}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-task Gaussian process for imputing missing data in multi-trait and multi-environment trials — https://4ort.xyz/entity/multi-task-gaussian-process-for-imputing-missing-data-in-multi-trait-and-multi-environment-trials (retrieved 2026-05-24)

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