{"id":"https://openalex.org/W2011845369","doi":"https://doi.org/10.1145/267460.267475","title":"On-line learning and the metrical task system problem","display_name":"On-line learning and the metrical task system problem","publication_year":1997,"publication_date":"1997-01-01","ids":{"openalex":"https://openalex.org/W2011845369","doi":"https://doi.org/10.1145/267460.267475","mag":"2011845369"},"language":"en","primary_location":{"id":"doi:10.1145/267460.267475","is_oa":true,"landing_page_url":"https://doi.org/10.1145/267460.267475","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/267460.267475","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth annual conference on Computational learning theory - COLT '97","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/267460.267475","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024803432","display_name":"Avrim Blum","orcid":"https://orcid.org/0000-0003-2450-5102"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avrim Blum","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University, Pittsburgh, PA","School of Computer Science, Carnegie Mellon Univ., Pittsburgh, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon Univ., Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029309273","display_name":"Carl Burch","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carl Burch","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University, Pittsburgh, PA","School of Computer Science, Carnegie Mellon Univ., Pittsburgh, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon Univ., Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":2.6069,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.90335437,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12288","display_name":"Optimization and Search Problems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9995999932289124,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.7465403079986572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6616940498352051},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.640634298324585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36587077379226685},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.337802529335022},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.33582738041877747},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12876373529434204},{"id":"https://openalex.org/keywords/management","display_name":"Management","score":0.1278408169746399}],"concepts":[{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.7465403079986572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6616940498352051},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.640634298324585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36587077379226685},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.337802529335022},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.33582738041877747},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12876373529434204},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.1278408169746399},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1145/267460.267475","is_oa":true,"landing_page_url":"https://doi.org/10.1145/267460.267475","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/267460.267475","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth annual conference on Computational learning theory - COLT '97","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.17.2057","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.2057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/~cburch/pub/bb_learning_mts.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.19.4913","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.4913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aladdin.cs.cmu.edu/papers/pdfs/y2000/mts_experts.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.39.44","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.44","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/~cburch/pub/bb_learning_mts.jv.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.48.1979","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.48.1979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://almond.srv.cs.cmu.edu/afs/cs.cmu.edu/usr/avrim/www/Papers/./mts_experts.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.49.6406","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.6406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pecan.srv.cs.cmu.edu/afs/cs.cmu.edu/local/mosaic/common/omega/Web/People/avrim/Papers/./mts_experts.ps.gz","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/267460.267475","is_oa":true,"landing_page_url":"https://doi.org/10.1145/267460.267475","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/267460.267475","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth annual conference on Computational learning theory - COLT '97","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1193805792","display_name":"NSF Young Investigator:  Understanding Basic Issues in      Machine Learning, On-line Planning, and Approximate         Algorithms","funder_award_id":"9357793","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2011845369.pdf","grobid_xml":"https://content.openalex.org/works/W2011845369.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1575141434","https://openalex.org/W1970041563","https://openalex.org/W1980712336","https://openalex.org/W1986829372","https://openalex.org/W1988790447","https://openalex.org/W2008392312","https://openalex.org/W2050660892","https://openalex.org/W2054033098","https://openalex.org/W2056656460","https://openalex.org/W2093825590","https://openalex.org/W2114493937","https://openalex.org/W2114538202","https://openalex.org/W2134666295","https://openalex.org/W2137909125","https://openalex.org/W2161029651","https://openalex.org/W6663946435"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2081647779","https://openalex.org/W3107474891","https://openalex.org/W1607472309","https://openalex.org/W4237750775","https://openalex.org/W3128051602","https://openalex.org/W2370597599","https://openalex.org/W3119923093","https://openalex.org/W2963891724","https://openalex.org/W2319467001"],"abstract_inverted_index":{"We":[0,72],"relate":[1],"two":[2,9],"problems":[3,76],"that":[4,74],"have":[5],"been":[6],"explored":[7],"in":[8,23,30,39,55,61],"distinct":[10],"communities.":[11],"The":[12,44],"first":[13],"is":[14,46],"the":[15,24,32,36,40,47,56,65,68,100],"problem":[16,33],"of":[17,34,67],"combining":[18],"expert":[19,38],"advice,":[20],"studied":[21,53],"extensively":[22,54],"computational":[25],"learning":[26],"theory":[27],"literature,":[28,59],"and":[29,60,81,95],"particular":[31],"tracking":[35],"best":[37],"clean":[41],"\"decision-theoretic\"":[42],"setting.":[43],"second":[45],"Metrical":[48],"Task":[49],"System":[50],"(MTS)":[51],"problem,":[52],"On-line":[57],"Algorithms":[58],"particular,":[62],"variations":[63],"on":[64],"setting":[66],"uniform":[69],"metric":[70],"space.":[71],"show":[73],"these":[75],"contain":[77],"several":[78],"interesting":[79],"similarities":[80],"demonstrate":[82],"how":[83],"algorithms":[84],"designed":[85],"for":[86,98],"each":[87],"can":[88],"be":[89],"used":[90],"to":[91],"achieve":[92],"good":[93],"bounds":[94],"new":[96],"approaches":[97],"solving":[99],"other.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}