{"id":"https://openalex.org/W2130275649","doi":"https://doi.org/10.1109/isit.2010.5513583","title":"Universal hypothesis testing in the learning-limited regime","display_name":"Universal hypothesis testing in the learning-limited regime","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2130275649","doi":"https://doi.org/10.1109/isit.2010.5513583","mag":"2130275649"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2010.5513583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2010.5513583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5088724430","display_name":"Benjamin G. Kelly","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin G. Kelly","raw_affiliation_strings":["School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA","School of Electrical and Computer Engineering Cornell University Ithaca NY 14850 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering Cornell University Ithaca NY 14850 USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035707756","display_name":"Thitidej Tularak","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thitidej Tularak","raw_affiliation_strings":["School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA","School of Electrical and Computer Engineering Cornell University Ithaca NY 14850 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering Cornell University Ithaca NY 14850 USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073557148","display_name":"Aaron B. Wagner","orcid":"https://orcid.org/0000-0001-9127-0089"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron B. Wagner","raw_affiliation_strings":["School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA","School of Electrical and Computer Engineering Cornell University Ithaca NY 14850 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering Cornell University Ithaca NY 14850 USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053980484","display_name":"Pramod Viswanath","orcid":"https://orcid.org/0000-0003-3171-8667"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pramod Viswanath","raw_affiliation_strings":["Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, Urbana-Champaign, IL, USA","Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 61801 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 61801 USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4522,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90537737,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1478","last_page":"1482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9994999766349792,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9994999766349792,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9986000061035156,"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/alphabet","display_name":"Alphabet","score":0.8087270259857178},{"id":"https://openalex.org/keywords/quadratic-growth","display_name":"Quadratic growth","score":0.6879389882087708},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6211010813713074},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5125417709350586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48572975397109985},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.44270002841949463},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4287184774875641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3910611569881439},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3634924292564392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23087984323501587},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.21166208386421204}],"concepts":[{"id":"https://openalex.org/C112876837","wikidata":"https://www.wikidata.org/wiki/Q837518","display_name":"Alphabet","level":2,"score":0.8087270259857178},{"id":"https://openalex.org/C195956108","wikidata":"https://www.wikidata.org/wiki/Q7268362","display_name":"Quadratic growth","level":2,"score":0.6879389882087708},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6211010813713074},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5125417709350586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48572975397109985},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.44270002841949463},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4287184774875641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3910611569881439},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3634924292564392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23087984323501587},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.21166208386421204},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2010.5513583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2010.5513583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8199999928474426,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1515002134","https://openalex.org/W1535258871","https://openalex.org/W1549664537","https://openalex.org/W1981155179","https://openalex.org/W1992068214","https://openalex.org/W2033387638","https://openalex.org/W2040820014","https://openalex.org/W2104648144","https://openalex.org/W2115054880","https://openalex.org/W2164145253","https://openalex.org/W2751862591","https://openalex.org/W2753908209","https://openalex.org/W4249267923","https://openalex.org/W6630848946"],"related_works":["https://openalex.org/W2084086280","https://openalex.org/W2027198738","https://openalex.org/W2397767885","https://openalex.org/W2062514649","https://openalex.org/W2083114070","https://openalex.org/W2023096387","https://openalex.org/W4293088966","https://openalex.org/W2077146756","https://openalex.org/W2917463375","https://openalex.org/W4238939226"],"abstract_inverted_index":{"Given":[0],"training":[1,38],"sequences":[2],"generated":[3,28],"by":[4,29],"two":[5],"distinct,":[6],"but":[7,99],"unknown":[8],"distributions":[9,54],"sharing":[10],"a":[11,16,23,63,67,76,111,127],"common":[12],"alphabet,":[13],"we":[14,44,121],"seek":[15],"classifier":[17],"that":[18,62],"can":[19],"correctly":[20],"decide":[21],"whether":[22],"third":[24],"test":[25,129],"sequence":[26],"is":[27,72,94],"the":[30,37,46,58,84,91,97,118,123,138],"first":[31],"or":[32,142],"second":[33],"distribution":[34],"using":[35],"only":[36],"data.":[39],"To":[40],"model":[41],"`limited":[42],"learning'":[43],"allow":[45],"alphabet":[47,92,103,108,139],"size":[48,93],"to":[49,55,81],"grow":[50],"and":[51,130],"therefore":[52],"probability":[53,77],"change":[56],"with":[57,83],"blocklength.":[59],"We":[60],"prove":[61,122],"natural":[64],"choice,":[65],"namely":[66],"generalized":[68],"likelihood":[69],"ratio":[70],"test,":[71],"universally":[73,124],"consistent":[74],"(has":[75],"of":[78,117,126],"error":[79],"tending":[80],"zero":[82],"blocklength":[85],"for":[86,101],"all":[87,114],"underlying":[88],"distributions)":[89],"when":[90,137],"sub-linear":[95],"in":[96,110],"blocklength,":[98],"inconsistent":[100],"linear":[102],"growth.":[104],"For":[105],"up-to":[106],"quadratic":[107],"growth,":[109],"regime":[112],"where":[113],"probabilities":[115],"are":[116,133],"same":[119],"order,":[120],"consistency":[125],"new":[128],"show":[131],"there":[132],"no":[134],"such":[135],"tests":[136],"grows":[140],"quadratically":[141],"faster.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}