{"id":"https://openalex.org/W2095105645","doi":"https://doi.org/10.1109/ijcnn.2007.4371047","title":"Transfer Learning in Decision Trees","display_name":"Transfer Learning in Decision Trees","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2095105645","doi":"https://doi.org/10.1109/ijcnn.2007.4371047","mag":"2095105645"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371047","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","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/A5109972509","display_name":"Jun won Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jun won Lee","raw_affiliation_strings":["Department of Computer Science, Brigham Young University, Provo, UT, USA","Brigham Young University, Provo;"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brigham Young University, Provo, UT, USA","institution_ids":["https://openalex.org/I100005738"]},{"raw_affiliation_string":"Brigham Young University, Provo;","institution_ids":["https://openalex.org/I100005738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001363421","display_name":"Christophe Giraud-Carrier","orcid":"https://orcid.org/0000-0002-4129-3239"},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christophe Giraud-Carrier","raw_affiliation_strings":["Department of Computer Science, Brigham Young University, Provo, UT, USA","Brigham Young University, Provo;"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brigham Young University, Provo, UT, USA","institution_ids":["https://openalex.org/I100005738"]},{"raw_affiliation_string":"Brigham Young University, Provo;","institution_ids":["https://openalex.org/I100005738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109972509"],"corresponding_institution_ids":["https://openalex.org/I100005738"],"apc_list":null,"apc_paid":null,"fwci":0.749,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.69672679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"726","last_page":"731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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":0.9954000115394592,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9948999881744385,"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":0.8165795803070068},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.7267894744873047},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6799541115760803},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6455396413803101},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6191241145133972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5992611646652222},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5687189698219299},{"id":"https://openalex.org/keywords/inductive-transfer","display_name":"Inductive transfer","score":0.556152880191803},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.4948853850364685},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4919250011444092},{"id":"https://openalex.org/keywords/instance-based-learning","display_name":"Instance-based learning","score":0.44423675537109375},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.43240392208099365},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.3692700266838074},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.3439405858516693},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.1738542914390564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8165795803070068},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.7267894744873047},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6799541115760803},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6455396413803101},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6191241145133972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5992611646652222},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5687189698219299},{"id":"https://openalex.org/C77075516","wikidata":"https://www.wikidata.org/wiki/Q6027324","display_name":"Inductive transfer","level":5,"score":0.556152880191803},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.4948853850364685},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4919250011444092},{"id":"https://openalex.org/C24138899","wikidata":"https://www.wikidata.org/wiki/Q17141258","display_name":"Instance-based learning","level":3,"score":0.44423675537109375},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.43240392208099365},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.3692700266838074},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.3439405858516693},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.1738542914390564},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C89423630","wikidata":"https://www.wikidata.org/wiki/Q7193","display_name":"Microbiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371047","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6700000166893005,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1560550898","https://openalex.org/W1579705726","https://openalex.org/W1614862348","https://openalex.org/W1844822759","https://openalex.org/W1947191636","https://openalex.org/W2036043322","https://openalex.org/W2112841646","https://openalex.org/W2145680191","https://openalex.org/W2153353285","https://openalex.org/W2169924623","https://openalex.org/W2913340405","https://openalex.org/W3035219538","https://openalex.org/W3209042722","https://openalex.org/W4236137412","https://openalex.org/W6633555322","https://openalex.org/W6685014358","https://openalex.org/W6780052409"],"related_works":["https://openalex.org/W4239943352","https://openalex.org/W2914746235","https://openalex.org/W2913340405","https://openalex.org/W2050153923","https://openalex.org/W4285704036","https://openalex.org/W2118204198","https://openalex.org/W4387183681","https://openalex.org/W4239202700","https://openalex.org/W1984625914","https://openalex.org/W4367308645"],"abstract_inverted_index":{"Most":[0],"research":[1],"in":[2,8,32],"machine":[3],"learning":[4,15,20,28,53,74],"focuses":[5],"on":[6,100],"scenarios":[7],"which":[9,48,91],"a":[10,13,44,49,69,81,86,95],"learner":[11,50],"faces":[12],"single":[14],"task,":[16],"independently":[17],"of":[18],"other":[19],"tasks":[21,60],"or":[22],"prior":[23],"knowledge.":[24],"In":[25],"reality,":[26],"however,":[27],"is":[29,43,109],"not":[30],"performed":[31],"isolation,":[33],"starting":[34],"from":[35,63,85,94],"scratch":[36],"with":[37,75],"every":[38],"new":[39,59,82],"task.":[40,97],"Instead,":[41],"it":[42],"lifelong":[45],"activity":[46],"during":[47],"encounters":[51],"many":[52],"tasks,":[54],"and":[55,113],"usefully":[56],"transfers":[57],"to":[58,72],"knowledge":[61,93],"acquired":[62],"earlier":[64],"related":[65],"tasks.":[66],"We":[67],"propose":[68],"novel":[70],"approach":[71,108],"transfer":[73],"decision":[76,88],"trees.":[77],"Our":[78],"system":[79],"learns":[80],"task":[83],"semi-incrementally":[84],"partial":[87],"tree":[89],"model":[90],"captures":[92],"previous":[96],"Empirical":[98],"results":[99],"several":[101],"UCI":[102],"data":[103],"sets":[104],"show":[105],"that":[106],"our":[107],"generally":[110],"more":[111],"effective":[112],"accurate":[114],"than":[115],"the":[116],"base":[117],"approach.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":5}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}