{"id":"https://openalex.org/W2001564582","doi":"https://doi.org/10.1109/cip.2012.6232893","title":"Transfer learning in a heterogeneous environment","display_name":"Transfer learning in a heterogeneous environment","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2001564582","doi":"https://doi.org/10.1109/cip.2012.6232893","mag":"2001564582"},"language":"en","primary_location":{"id":"doi:10.1109/cip.2012.6232893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cip.2012.6232893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 3rd International Workshop on Cognitive Information Processing (CIP)","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/A5008737035","display_name":"Andreas Maurer","orcid":"https://orcid.org/0000-0002-2916-7475"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Andreas Maurer","raw_affiliation_strings":["Department of Computer Science, University College London, UK","Dept. of Comput. Sci., Univ. Coll. London, , UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College London, UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Univ. Coll. London, , UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034260726","display_name":"Massimiliano Pontil","orcid":"https://orcid.org/0000-0001-9415-098X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Massimiliano Pontil","raw_affiliation_strings":["Department of Computer Science, University College London, UK","Dept. of Comput. Sci., Univ. Coll. London, , UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College London, UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Univ. Coll. London, , UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008737035"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08438633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"6"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9952999949455261,"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/projection","display_name":"Projection (relational algebra)","score":0.6571840047836304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.637601912021637},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6287827491760254},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.6184082627296448},{"id":"https://openalex.org/keywords/hilbert-space","display_name":"Hilbert space","score":0.5740771889686584},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5681177377700806},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5672533512115479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5262167453765869},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.47577324509620667},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4611961841583252},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.45410335063934326},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4341599941253662},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42274898290634155},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3678748607635498},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3015938401222229},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.12621420621871948},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08084487915039062}],"concepts":[{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6571840047836304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.637601912021637},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6287827491760254},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6184082627296448},{"id":"https://openalex.org/C62799726","wikidata":"https://www.wikidata.org/wiki/Q190056","display_name":"Hilbert space","level":2,"score":0.5740771889686584},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5681177377700806},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5672533512115479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5262167453765869},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.47577324509620667},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4611961841583252},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.45410335063934326},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4341599941253662},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42274898290634155},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3678748607635498},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3015938401222229},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.12621420621871948},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08084487915039062},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cip.2012.6232893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cip.2012.6232893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 3rd International Workshop on Cognitive Information Processing (CIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1381978","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/1381978/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"   2012 3rd International Workshop on Cognitive Information Processing, CIP 2012       (2012)      ","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W99485931","https://openalex.org/W188867022","https://openalex.org/W1519789693","https://openalex.org/W1568364756","https://openalex.org/W1569436870","https://openalex.org/W1978164656","https://openalex.org/W2036043322","https://openalex.org/W2065180801","https://openalex.org/W2124231679","https://openalex.org/W2130903752","https://openalex.org/W2156267734","https://openalex.org/W2162888803","https://openalex.org/W2913340405","https://openalex.org/W3044488908","https://openalex.org/W3104240813","https://openalex.org/W4249716558","https://openalex.org/W4301425558","https://openalex.org/W6678658103","https://openalex.org/W6679734692","https://openalex.org/W6682897304"],"related_works":["https://openalex.org/W2821676139","https://openalex.org/W3043695725","https://openalex.org/W4382138864","https://openalex.org/W4387770285","https://openalex.org/W3022215768","https://openalex.org/W3135975972","https://openalex.org/W3016888008","https://openalex.org/W4385864216","https://openalex.org/W4389428568","https://openalex.org/W4387183713"],"abstract_inverted_index":{"We":[0,43],"present":[1],"a":[2,18,40,55,77,105],"method":[3,101],"for":[4,89],"transfer":[5,133],"learning,":[6],"in":[7,11,39],"which":[8,20,90],"tasks":[9,49],"encountered":[10],"the":[12,47,64,82,85,91,115,124,127,140],"past":[13],"are":[14,67,148],"used":[15],"to":[16,23,33,45,53,58,69,104,110],"choose":[17],"representation":[19],"is":[21,31,94,108,121],"expected":[22,97],"work":[24],"well":[25],"on":[26],"future":[27,78,106],"tasks.":[28],"Each":[29],"task":[30,107,137,143],"assumed":[32],"be":[34,111],"binary":[35],"classification":[36],"or":[37],"regression":[38],"Hilbert":[41,128],"space.":[42,129],"propose":[44],"arrange":[46],"observed":[48],"into":[50],"groups":[51,62],"and":[52,63,84,139],"assign":[54],"low-dimensional":[56],"projection":[57],"each":[59],"group.":[60],"The":[61,96,119,130],"corresponding":[65,86],"projections":[66],"chosen":[68],"minimize":[70],"an":[71],"empirical":[72,92,116],"error":[73,93,98,117],"criterion.":[74,118],"To":[75],"learn":[76],"task,":[79],"one":[80],"selects":[81],"projection,":[83],"linear":[87],"function,":[88],"minimal.":[95],"of":[99,123,126,132,142],"this":[100],"when":[102],"applied":[103],"shown":[109],"uniformly":[112],"bounded":[113],"by":[114],"bound":[120],"independent":[122],"dimension":[125],"advantages":[131,141],"learning":[134,138],"over":[135,145],"single":[136],"grouping":[144,147],"no":[146],"discussed.":[149]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}