{"id":"https://openalex.org/W2296714235","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-252","title":"Active online classification via information maximization","display_name":"Active online classification via information maximization","publication_year":2011,"publication_date":"2011-07-16","ids":{"openalex":"https://openalex.org/W2296714235","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-252","mag":"2296714235"},"language":"en","primary_location":{"id":"mag:2296714235","is_oa":false,"landing_page_url":"https://www.ijcai.org/papers11/Papers/IJCAI11-252.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Joint Conference on Artificial Intelligence","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/A5017159143","display_name":"Noam Slonim","orcid":"https://orcid.org/0000-0001-5171-8264"},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Noam Slonim","raw_affiliation_strings":["IBM - Haifa Res. Lab., Haifa, Israel"],"raw_orcid":"https://orcid.org/0000-0001-5171-8264","affiliations":[{"raw_affiliation_string":"IBM - Haifa Res. Lab., Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009670109","display_name":"Elad Yom\u2010Tov","orcid":"https://orcid.org/0000-0002-2380-4584"},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Elad Yom\u2010Tov","raw_affiliation_strings":["IBM - Haifa Res. Lab., Haifa, Israel"],"raw_orcid":"https://orcid.org/0000-0002-2380-4584","affiliations":[{"raw_affiliation_string":"IBM - Haifa Res. Lab., Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006419939","display_name":"Koby Crammer","orcid":"https://orcid.org/0000-0001-8824-5747"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Koby Crammer","raw_affiliation_strings":["Department of Electrical Engineering, The Technion, Haifa, Israel#TAB#"],"raw_orcid":"https://orcid.org/0000-0001-8824-5747","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, The Technion, Haifa, Israel#TAB#","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017159143"],"corresponding_institution_ids":["https://openalex.org/I4210167297"],"apc_list":null,"apc_paid":null,"fwci":0.8165,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74489796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1498","last_page":"1504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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":0.9907000064849854,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9904999732971191,"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/computer-science","display_name":"Computer science","score":0.7656205892562866},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7597236633300781},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6434979438781738},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.6318454742431641},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5537729859352112},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5472050905227661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5110962986946106},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4861885905265808},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.476455956697464},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47141170501708984},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.46553364396095276},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.42288559675216675},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4213562607765198},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18887624144554138},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.12992292642593384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11893990635871887}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7656205892562866},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7597236633300781},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6434979438781738},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.6318454742431641},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5537729859352112},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5472050905227661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5110962986946106},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4861885905265808},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.476455956697464},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47141170501708984},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.46553364396095276},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.42288559675216675},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4213562607765198},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18887624144554138},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.12992292642593384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11893990635871887},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2296714235","is_oa":false,"landing_page_url":"https://www.ijcai.org/papers11/Papers/IJCAI11-252.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"International Joint Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W193708675","https://openalex.org/W1490760466","https://openalex.org/W1493526108","https://openalex.org/W1528361845","https://openalex.org/W1594112393","https://openalex.org/W1595613095","https://openalex.org/W1966771059","https://openalex.org/W1979711143","https://openalex.org/W2010425028","https://openalex.org/W2040870580","https://openalex.org/W2071106922","https://openalex.org/W2085989833","https://openalex.org/W2090009487","https://openalex.org/W2099111195","https://openalex.org/W2111145173","https://openalex.org/W2122537498","https://openalex.org/W2124244761","https://openalex.org/W2130975838","https://openalex.org/W2146950091","https://openalex.org/W2150102617","https://openalex.org/W2160218441","https://openalex.org/W2161270705","https://openalex.org/W2166490929","https://openalex.org/W2799061466","https://openalex.org/W2979454998"],"related_works":["https://openalex.org/W2150959276","https://openalex.org/W2205553063","https://openalex.org/W3103904664","https://openalex.org/W3189632814","https://openalex.org/W2909288227","https://openalex.org/W3093532005","https://openalex.org/W2789495588","https://openalex.org/W2604476911","https://openalex.org/W2914786494","https://openalex.org/W588472770","https://openalex.org/W2400207727","https://openalex.org/W3089801830","https://openalex.org/W1883147838","https://openalex.org/W3128029394","https://openalex.org/W3213485676","https://openalex.org/W2908665600","https://openalex.org/W3090855199","https://openalex.org/W3028630157","https://openalex.org/W1977640460","https://openalex.org/W2907656810"],"abstract_inverted_index":{"We":[0,18],"propose":[1],"an":[2,53],"online":[3,105],"classification":[4,61,89,93,106],"approach":[5],"for":[6],"co-occurrence":[7],"data":[8],"which":[9],"is":[10,71,98],"based":[11],"on":[12],"a":[13],"simple":[14],"information":[15],"theoretic":[16],"principle.":[17],"further":[19],"show":[20],"how":[21,36],"to":[22,37,45,59,102],"properly":[23],"estimate":[24],"the":[25,85,92],"uncertainty":[26,40],"associated":[27],"with":[28],"each":[29],"prediction":[30],"of":[31,76,87,95],"our":[32,96],"scheme":[33],"and":[34,78],"demonstrate":[35,90],"exploit":[38],"these":[39],"estimates.":[41],"First,":[42],"in":[43,57,74,84],"order":[44,58],"abstain":[46],"highly":[47,72],"uncertain":[48],"predictions.":[49],"And":[50],"second,":[51],"within":[52],"active":[54],"learning":[55],"framework,":[56],"preserve":[60],"accuracy":[62,94],"while":[63],"substantially":[64],"reducing":[65],"training":[66],"set":[67],"size.":[68],"Our":[69],"method":[70,97],"efficient":[73],"terms":[75],"run-time":[77],"memory":[79],"footprint":[80],"requirements.":[81],"Experimental":[82],"results":[83],"domain":[86],"text":[88],"that":[91],"superior":[99],"or":[100],"comparable":[101],"other":[103],"state-of-the-art":[104],"algorithms.":[107]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
