{"schema_version":"4ort.packet/1","entity":{"entity_id":"identification-of-robust-gaussian-process-regression-with-noisy-input-using-em-algorithm","kg_uuid":"5e4ecf1c-4fc9-4940-874c-65291fc421b8","wikidata_id":"openalex:W2946808246","name":"Identification of robust Gaussian Process Regression with noisy input using EM algorithm","description":"Research article (Chemometrics and Intelligent Laboratory Systems, 2019) · cited 24× · AI/ML","type":"CreativeWork","url":"https://4ort.xyz/entity/identification-of-robust-gaussian-process-regression-with-noisy-input-using-em-algorithm"},"status":"complete","as_of":{"copy_written_at":"2026-10-18T22:31:33Z","last_source_edit_seen":null,"stale_possible":false,"claims_refreshed_at":null,"source_revision":null},"facts":[{"field":"P31","label":"instance of","value":"scholarly article","value_id":"Q13442814","value_raw":"Q13442814","rank":"normal","current":null,"qualifiers":[],"layer":"source","citation":{"source":"openalex","source_name":"OpenAlex","source_record":"https://openalex.org/W2946808246","source_edition":null,"edition_basis":"unknown","licence":"CC0 1.0 Universal","licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","attribution":null,"references":[]},"trust":{"band":"high","basis":"dataset-record/1","calibrated":false}},{"field":"P577","label":"publication date","value":"2019-05-24","value_id":null,"value_raw":"+2019-05-24T00:00:00Z","rank":"normal","current":null,"qualifiers":[],"layer":"source","citation":{"source":"openalex","source_name":"OpenAlex","source_record":"https://openalex.org/W2946808246","source_edition":"20260923","edition_basis":"lake_edition","licence":"CC0 1.0 Universal","licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","attribution":null,"references":[]},"trust":{"band":"high","basis":"dataset-record/1","calibrated":false}},{"field":"P356","label":"DOI","value":"10.1016/J.CHEMOLAB.2019.05.001","value_id":null,"value_raw":"10.1016/J.CHEMOLAB.2019.05.001","rank":"normal","current":null,"qualifiers":[],"layer":"source","citation":{"source":"openalex","source_name":"OpenAlex","source_record":"https://openalex.org/W2946808246","source_edition":"20260923","edition_basis":"lake_edition","licence":"CC0 1.0 Universal","licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","attribution":null,"references":[]},"trust":{"band":"high","basis":"dataset-record/1","calibrated":false}},{"field":"P1433","label":"published in","value":"Chemometrics and Intelligent Laboratory Systems","value_id":"Q113337","value_raw":"Q113337","rank":"normal","current":null,"qualifiers":[],"layer":"source","citation":{"source":"openalex","source_name":"OpenAlex","source_record":"https://openalex.org/W2946808246","source_edition":"20260923","edition_basis":"lake_edition","licence":"CC0 1.0 Universal","licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","attribution":null,"references":[]},"trust":{"band":"high","basis":"dataset-record/1","calibrated":false}},{"field":"P1476","label":"title","value":"Identification of robust Gaussian Process Regression with noisy input using EM algorithm","value_id":null,"value_raw":{"lang":"en","text":"Identification of robust Gaussian Process Regression with noisy input using EM algorithm"},"rank":"normal","current":null,"qualifiers":[],"layer":"source","citation":{"source":"openalex","source_name":"OpenAlex","source_record":"https://openalex.org/W2946808246","source_edition":"20260923","edition_basis":"lake_edition","licence":"CC0 1.0 Universal","licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","attribution":null,"references":[]},"trust":{"band":"high","basis":"dataset-record/1","calibrated":false}}],"unknowns":[],"omitted":{"facts":0,"reason":null},"licences":[{"source":"openalex","source_name":"OpenAlex","licence":"CC0 1.0 Universal","licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","attribution":null,"fields":["P31","P577","P356","P1433","P1476"]}],"routes":{"entity_page":"https://4ort.xyz/entity/identification-of-robust-gaussian-process-regression-with-noisy-input-using-em-algorithm","packet_api":"https://4ort.xyz/api/v1/entities/identification-of-robust-gaussian-process-regression-with-noisy-input-using-em-algorithm/packet","facts_jsonld":"https://4ort.xyz/entity/identification-of-robust-gaussian-process-regression-with-noisy-input-using-em-algorithm/facts.json","changes_api":"https://4ort.xyz/api/v1/knowledge/get_entity_changes?entity=identification-of-robust-gaussian-process-regression-with-noisy-input-using-em-algorithm","attention_api":"https://4ort.xyz/api/v1/knowledge/get_attention?entity=identification-of-robust-gaussian-process-regression-with-noisy-input-using-em-algorithm","wikidata":null,"official_website":null},"trust_rules":{"dataset-record/1":"The fact is the cited dataset's own published record (band high). Reference support, not a probability."},"notes":[]}