{"id":"https://openalex.org/W2229723578","doi":"https://doi.org/10.13097/archive-ouverte/unige:5483","title":"Distance and kernel based learning over composite representations","display_name":"Distance and kernel based learning over composite representations","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2229723578","doi":"https://doi.org/10.13097/archive-ouverte/unige:5483","mag":"2229723578"},"language":"en","primary_location":{"id":"pmh:oai:unige.ch:unige:5483","is_oa":true,"landing_page_url":"https://archive-ouverte.unige.ch/unige:5483","pdf_url":"https://archive-ouverte.unige.ch/unige:5483","source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"type":"dissertation","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://archive-ouverte.unige.ch/unige:5483","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080704583","display_name":"Adam Wo\u017anica","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Woznica, Adam","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080704583"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9542999863624573,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9542999863624573,"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/tuple","display_name":"Tuple","score":0.7276521921157837},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5423475503921509},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5369714498519897},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5175577998161316},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.4952615797519684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48006758093833923},{"id":"https://openalex.org/keywords/formalism","display_name":"Formalism (music)","score":0.46125850081443787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.457943856716156},{"id":"https://openalex.org/keywords/relational-calculus","display_name":"Relational calculus","score":0.45095670223236084},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.38735827803611755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.366260290145874},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.3491479754447937},{"id":"https://openalex.org/keywords/relational-model","display_name":"Relational model","score":0.23207026720046997},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.20351344347000122},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1702568531036377},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.11733514070510864}],"concepts":[{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.7276521921157837},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5423475503921509},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5369714498519897},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5175577998161316},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.4952615797519684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48006758093833923},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.46125850081443787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.457943856716156},{"id":"https://openalex.org/C99436015","wikidata":"https://www.wikidata.org/wiki/Q1722436","display_name":"Relational calculus","level":4,"score":0.45095670223236084},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.38735827803611755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.366260290145874},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.3491479754447937},{"id":"https://openalex.org/C40207289","wikidata":"https://www.wikidata.org/wiki/Q755662","display_name":"Relational model","level":3,"score":0.23207026720046997},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.20351344347000122},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1702568531036377},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.11733514070510864},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:unige.ch:unige:5483","is_oa":true,"landing_page_url":"https://archive-ouverte.unige.ch/unige:5483","pdf_url":"https://archive-ouverte.unige.ch/unige:5483","source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.13097/archive-ouverte/unige:5483","is_oa":true,"landing_page_url":"https://doi.org/10.13097/archive-ouverte/unige:5483","pdf_url":null,"source":{"id":"https://openalex.org/S7407051284","display_name":"Uni Genf","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"thesis"}],"best_oa_location":{"id":"pmh:oai:unige.ch:unige:5483","is_oa":true,"landing_page_url":"https://archive-ouverte.unige.ch/unige:5483","pdf_url":"https://archive-ouverte.unige.ch/unige:5483","source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2229723578.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W177807718","https://openalex.org/W2079585857","https://openalex.org/W1558526662","https://openalex.org/W1529533208","https://openalex.org/W1934837536","https://openalex.org/W2902709023","https://openalex.org/W2261987189","https://openalex.org/W3170961486","https://openalex.org/W1930630035","https://openalex.org/W2265641522","https://openalex.org/W2241993303","https://openalex.org/W2343659834","https://openalex.org/W1979795383","https://openalex.org/W2944878684","https://openalex.org/W2277758200","https://openalex.org/W2117420919","https://openalex.org/W2134990212","https://openalex.org/W2345947583","https://openalex.org/W1797925178","https://openalex.org/W2401711567"],"abstract_inverted_index":{"The":[0,113,364],"goal":[1],"of":[2,10,32,37,62,75,105,126,152,166,175,185,188,192,206,220,256,262,274,286,298,307,316,325,341,348,350,355,361,367,384,391],"this":[3],"dissertation":[4],"is":[5,120,159],"to":[6,58,89,97,108,129,265],"examine":[7],"various":[8,76,299,336,356,362],"aspects":[9],"the":[11,30,35,46,73,82,117,130,134,156,164,167,176,186,190,193,237,253,272,275,303,321,346,368,373,392,404],"distance-":[12,288,375],"and":[13,40,68,78,149,223,240,289,331,353,376],"kernel-based":[14,290,377],"learning":[15,247],"paradigms":[16,378],"applied":[17],"in":[18,229,389],"relational":[19,47,291,385,394,410],"settings.":[20],"We":[21,70,85,136,233,251,282],"start":[22],"by":[23],"introducing":[24],"a":[25,60,90,103,109,123,199,218,382],"multi-relational":[26],"representation":[27,83],"formalism,":[28],"at":[29],"core":[31],"which":[33,42,132,180,225,270,293,400],"lie":[34],"concepts":[36],"tuples,":[38],"sets":[39],"lists,":[41],"we":[43,55,94,145,197,241,396],"implemented":[44],"over":[45,81,116,142,211,248,278,381],"algebra":[48],"language.":[49],"By":[50],"combining":[51],"these":[52,279],"data":[53,111,208],"types":[54,264],"are":[56,86,95,181,226,379,401],"able":[57],"model":[59],"variety":[61],"composite":[63,118,300],"objects,":[64],"such":[65],"as":[66,122],"trees":[67],"graphs.":[69],"proceed":[71],"with":[72,302,320],"definition":[74],"distance":[77],"kernel":[79],"operators":[80,127,140,210,224],"formalism.":[84],"not":[87],"constrained":[88],"specific":[91,263],"operator,":[92,100],"instead,":[93],"free":[96],"assign":[98],"an":[99,230,295,313,338],"selected":[101],"from":[102,173],"set":[104,153,178,219,308,326,332,351],"available":[106],"operators,":[107],"particular":[110],"type.":[112],"final":[114],"operator":[115],"objects":[119],"given":[121],"recursive":[124],"combination":[125,255,349,354],"assigned":[128],"sub-structures":[131],"constitute":[133],"objects.":[135],"focus":[137,234,304,322],"on":[138,161,183,236,245,305,311,323,329,335],"mapping-based":[139],"defined":[141],"sets.":[143,169,195],"Next,":[144],"propose":[146,198],"three":[147],"new":[148],"flexible":[150],"families":[151],"kernels":[154,171,179,269,277,327,333],"where":[155],"overall":[157],"similarity":[158],"based":[160,182,310,328,334],"mappings":[162],"between":[163],"elements":[165,191],"two":[168,194],"These":[170],"differ":[172],"most":[174],"existing":[177,276],"averaging":[184,330],"similarities":[187],"all":[189,390],"Finally,":[196],"general":[200],"framework":[201,216,344],"for":[202,345],"adaptively":[203],"selecting":[204],"representations":[205,222],"complex":[207,280,318],"and/or":[209],"representations.":[212],"More":[213],"precisely,":[214],"our":[215,287,342],"assumes":[217],"predefined":[221],"then":[227],"combined":[228],"optimal":[231,254],"way.":[232],"only":[235],"distance-based":[238],"paradigm":[239],"exploit":[242],"previous":[243],"work":[244],"metric":[246],"vectorial":[249],"data.":[250],"use":[252],"different":[257,317],"graph":[258,268,357],"decompositions":[259,358],"into":[260,359],"substructures":[261,360],"define":[266],"adaptive":[267,343],"address":[271],"limitations":[273],"structures.":[281],"undertook":[283],"extensive":[284],"comparisons":[285],"system,":[292],"included:":[294],"empirical":[296,314,339,365],"evaluation":[297,315,340,366],"distances,":[301,352],"comparison":[306,324],"distances":[309],"mappings;":[312,337],"kernels,":[319],"tasks":[347],"types.":[363],"system":[369],"has":[370],"shown":[371],"that":[372],"proposed":[374],"effective":[380],"number":[383],"benchmark":[386],"datasets.":[387],"Additionally,":[388],"examined":[393],"problems":[395],"achieved":[397],"state-of-the-art":[398],"results":[399,406],"better":[402],"than":[403],"best":[405],"obtained":[407],"using":[408],"other":[409],"systems.":[411]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
