{"id":"https://openalex.org/W2170605820","doi":"https://doi.org/10.1145/1273496.1273550","title":"Local dependent components","display_name":"Local dependent components","publication_year":2007,"publication_date":"2007-06-20","ids":{"openalex":"https://openalex.org/W2170605820","doi":"https://doi.org/10.1145/1273496.1273550","mag":"2170605820"},"language":"en","primary_location":{"id":"doi:10.1145/1273496.1273550","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1273496.1273550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th international conference on Machine learning","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/A5084783731","display_name":"Arto Klami","orcid":"https://orcid.org/0000-0002-7950-1355"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arto Klami","raw_affiliation_strings":["Helsinki University of Technology, TKK, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helsinki University of Technology, TKK, Finland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018305257","display_name":"Samuel Kaski","orcid":"https://orcid.org/0000-0003-1925-9154"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samuel Kaski","raw_affiliation_strings":["Helsinki University of Technology, TKK, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helsinki University of Technology, TKK, Finland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.2972,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.96352799,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"425","last_page":"432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9977999925613403,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9977999925613403,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7178323864936829},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6849789619445801},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.6455195546150208},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.6419049501419067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6345047950744629},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.502959668636322},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.47281017899513245},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4716930687427521},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.46079307794570923},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.44834890961647034},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4286084473133087},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.4280391335487366},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4256507158279419},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4222431182861328},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.364563912153244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3107530176639557}],"concepts":[{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7178323864936829},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6849789619445801},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.6455195546150208},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.6419049501419067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6345047950744629},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.502959668636322},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.47281017899513245},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4716930687427521},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.46079307794570923},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.44834890961647034},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4286084473133087},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.4280391335487366},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4256507158279419},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4222431182861328},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.364563912153244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3107530176639557},{"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/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1273496.1273550","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1273496.1273550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th international conference on Machine learning","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.80.7063","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.80.7063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://imls.engr.oregonstate.edu/www/htdocs/proceedings/icml2007/papers/278.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W157876482","https://openalex.org/W1510073064","https://openalex.org/W1532864520","https://openalex.org/W2025341678","https://openalex.org/W2040216630","https://openalex.org/W2053405531","https://openalex.org/W2080498142","https://openalex.org/W2080972498","https://openalex.org/W2093223772","https://openalex.org/W2118128687","https://openalex.org/W2125290066","https://openalex.org/W2136313443","https://openalex.org/W2137683543","https://openalex.org/W2143618849","https://openalex.org/W2145234365","https://openalex.org/W2155986985","https://openalex.org/W2169284261","https://openalex.org/W2294460823","https://openalex.org/W2434205482","https://openalex.org/W2535125233","https://openalex.org/W2785356762","https://openalex.org/W6681427677","https://openalex.org/W6681490944","https://openalex.org/W6696835939"],"related_works":["https://openalex.org/W1565185441","https://openalex.org/W1968846550","https://openalex.org/W302711736","https://openalex.org/W2313359725","https://openalex.org/W2375550484","https://openalex.org/W2619932150","https://openalex.org/W3134705486","https://openalex.org/W2013124714","https://openalex.org/W2121524531","https://openalex.org/W2189693141"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,41,54,97],"mixture":[3,73],"of":[4,47,64,67,86,89,94],"probabilistic":[5,34],"canonical":[6,29],"correlation":[7,30],"analyzers":[8],"model":[9,25],"for":[10,59,91],"analyzing":[11],"local":[12],"correlations,":[13],"or":[14],"more":[15,83],"generally":[16],"mutual":[17],"statistical":[18],"dependencies,":[19],"in":[20,36,57,106],"cooccurring":[21],"data":[22,108,112],"pairs.":[23],"The":[24],"extends":[26],"the":[27,65,72,76,82,101,104,107],"traditional":[28],"analysis":[31,46],"and":[32,61,69,111],"its":[33],"interpretation":[35],"three":[37],"main":[38],"ways.":[39],"First,":[40],"full":[42],"Bayesian":[43],"treatment":[44],"enables":[45],"small":[48,52],"samples":[49],"(large":[50],"p,":[51],"n,":[53],"crucial":[55],"problem":[56],"bioinformatics,":[58],"instance),":[60],"rigorous":[62],"estimation":[63],"degree":[66],"dependency":[68],"independency.":[70],"Secondly,":[71],"formulation":[74],"generalizes":[75],"method":[77,102],"from":[78],"global":[79],"linearity":[80],"to":[81],"reasonable":[84],"assumption":[85],"different":[87,92],"kinds":[88,93],"dependencies":[90],"data.":[95],"As":[96],"third":[98],"novel":[99],"extension":[100],"decomposes":[103],"variation":[105],"into":[109],"shared":[110],"set-specific":[113],"components.":[114],"1.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
