{"id":"https://openalex.org/W2019728401","doi":"https://doi.org/10.1145/1458082.1458324","title":"Group-based learning","display_name":"Group-based learning","publication_year":2008,"publication_date":"2008-10-26","ids":{"openalex":"https://openalex.org/W2019728401","doi":"https://doi.org/10.1145/1458082.1458324","mag":"2019728401"},"language":"en","primary_location":{"id":"doi:10.1145/1458082.1458324","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458082.1458324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM conference on Information and knowledge management","raw_type":"proceedings-article"},"type":"article","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/A5089769008","display_name":"Weijian Ni","orcid":"https://orcid.org/0000-0002-2676-571X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijian Ni","raw_affiliation_strings":["Nankai University, Tianjin, China","Nankai University, Tianjin, China)"],"affiliations":[{"raw_affiliation_string":"Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Nankai University, Tianjin, China)","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020766468","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0001-7170-111X"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455148","display_name":"Hang Li","orcid":"https://orcid.org/0000-0002-9875-696X"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Li","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101082924","display_name":"Yalou Huang","orcid":"https://orcid.org/0000-0002-6573-1854"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yalou Huang","raw_affiliation_strings":["Nankai University, Tianjin, China","Nankai University, Tianjin, China)"],"affiliations":[{"raw_affiliation_string":"Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Nankai University, Tianjin, China)","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089769008"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":0.3512,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62764383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1443","last_page":"1444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9939000010490417,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/boosting","display_name":"Boosting (machine learning)","score":0.797466516494751},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.7398191094398499},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7125342488288879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7086514234542847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6744315028190613},{"id":"https://openalex.org/keywords/group-learning","display_name":"Group learning","score":0.5932459831237793},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5753023624420166},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5676068067550659},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.518988311290741},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42521920800209045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10454761981964111},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.10028761625289917},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09492117166519165}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.797466516494751},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7398191094398499},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7125342488288879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7086514234542847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6744315028190613},{"id":"https://openalex.org/C2983025851","wikidata":"https://www.wikidata.org/wiki/Q1040098","display_name":"Group learning","level":2,"score":0.5932459831237793},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5753023624420166},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5676068067550659},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.518988311290741},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42521920800209045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10454761981964111},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.10028761625289917},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09492117166519165},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1458082.1458324","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458082.1458324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2032210760","https://openalex.org/W2070771761","https://openalex.org/W2110119381","https://openalex.org/W4244952642"],"related_works":["https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W1538046993","https://openalex.org/W2884325279","https://openalex.org/W1570592793","https://openalex.org/W1525436954","https://openalex.org/W2385662756","https://openalex.org/W2585372724","https://openalex.org/W2241444561"],"abstract_inverted_index":{"This":[0,74],"paper":[1,75],"points":[2],"out":[3],"that":[4,32],"many":[5],"machine":[6],"learning":[7,88],"problems":[8],"in":[9,17,53,57,104],"IR":[10],"should":[11],"be":[12,15,99],"and":[13,47,55,79],"can":[14],"formalized":[16],"a":[18,72,81],"novel":[19],"way,":[20],"referred":[21,92],"to":[22,84,93,98,101],"as":[23,35,37,94],"'group-based":[24],"learning'.":[25],"In":[26],"group-based":[27,107],"learning,":[28],"it":[29],"is":[30,45,96],"assumed":[31],"training":[33,58],"data":[34,39],"well":[36],"testing":[38,54],"consist":[40],"of":[41,67,106],"groups.":[42,50],"The":[43,90],"classifier":[44],"created":[46],"utilized":[48],"across":[49],"Furthermore,":[51],"evaluation":[52,68],"also":[56],"are":[59],"conducted":[60],"at":[61],"group":[62],"level,":[63],"with":[64],"the":[65,77,86],"use":[66],"measures":[69,108],"defined":[70],"on":[71],"group.":[73],"addresses":[76],"problem":[78],"presents":[80],"Boosting":[82],"algorithm":[83],"perform":[85],"new":[87],"task.":[89],"algorithm,":[91],"AdaBoost.Group,":[95],"proved":[97],"able":[100],"improve":[102],"accuracies":[103],"terms":[105],"during":[109],"training.":[110]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}