{"id":"https://openalex.org/W2997476292","doi":"https://doi.org/10.5555/1390681.1390693","title":"A Tutorial on Conformal Prediction","display_name":"A Tutorial on Conformal Prediction","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2997476292","doi":"https://doi.org/10.5555/1390681.1390693","mag":"2997476292"},"language":"en","primary_location":{"id":"mag:2997476292","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/1390681.1390693","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Machine Learning Research","raw_type":null},"type":"article","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071495922","display_name":"ShaferGlenn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ShaferGlenn","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109446951","display_name":"VovkVladimir","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"VovkVladimir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6768,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.85953438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.11029999703168869,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.11029999703168869,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.10760000348091125,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/conformal-map","display_name":"Conformal map","score":0.7709388732910156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5799487829208374},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.452583909034729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45153361558914185},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39674270153045654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2633545398712158},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08154398202896118}],"concepts":[{"id":"https://openalex.org/C98214594","wikidata":"https://www.wikidata.org/wiki/Q850275","display_name":"Conformal map","level":2,"score":0.7709388732910156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5799487829208374},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.452583909034729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45153361558914185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39674270153045654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2633545398712158},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08154398202896118}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2997476292","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/1390681.1390693","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Journal of Machine Learning Research","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3093152954","https://openalex.org/W3125249710","https://openalex.org/W3027782004","https://openalex.org/W3036653026","https://openalex.org/W2290734643","https://openalex.org/W2522170490","https://openalex.org/W3168455538","https://openalex.org/W3168667205","https://openalex.org/W2996502812","https://openalex.org/W3103462872","https://openalex.org/W1872197921","https://openalex.org/W3195493036","https://openalex.org/W2317543153","https://openalex.org/W3197930629","https://openalex.org/W2806908013","https://openalex.org/W3129501582","https://openalex.org/W2963018549","https://openalex.org/W3102288090","https://openalex.org/W2969940440","https://openalex.org/W3189297478"],"abstract_inverted_index":{"Conformal":[0],"prediction":[1,26],"uses":[2],"past":[3],"experience":[4],"to":[5],"determine":[6],"precise":[7],"levels":[8],"of":[9,28],"confidence":[10],"in":[11],"new":[12],"predictions.":[13],"Given":[14],"an":[15],"error":[16],"probability":[17],"e,":[18],"together":[19],"with":[20],"a":[21,25,29],"method":[22],"that":[23],"makes":[24],"\u0177":[27],"label":[30],"y,":[31],"...":[32]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
