{"id":"https://openalex.org/W2332365803","doi":"https://doi.org/10.1007/s10994-016-5564-x","title":"Learning undirected graphical models using persistent sequential Monte Carlo","display_name":"Learning undirected graphical models using persistent sequential Monte Carlo","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2332365803","doi":"https://doi.org/10.1007/s10994-016-5564-x","mag":"2332365803"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-016-5564-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-016-5564-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-016-5564-x.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-016-5564-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111976503","display_name":"Hanchen Xiong","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hanchen Xiong","raw_affiliation_strings":["Zalando SE, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Zalando SE, Berlin, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056529215","display_name":"S\u00e1ndor Szedm\u00e1k","orcid":"https://orcid.org/0000-0003-1469-2215"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sandor Szedmak","raw_affiliation_strings":["Department of Computer Science, Aalto University, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024515193","display_name":"Justus Piater","orcid":"https://orcid.org/0000-0002-1898-3362"},"institutions":[{"id":"https://openalex.org/I190249584","display_name":"Universit\u00e4t Innsbruck","ror":"https://ror.org/054pv6659","country_code":"AT","type":"education","lineage":["https://openalex.org/I190249584"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Justus Piater","raw_affiliation_strings":["Institute of Comptuer Science, University of Innsbruck, Innsbruck, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Comptuer Science, University of Innsbruck, Innsbruck, Austria","institution_ids":["https://openalex.org/I190249584"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111976503"],"corresponding_institution_ids":[],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01438532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"103","issue":"2","first_page":"239","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9954000115394592,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","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/T12072","display_name":"Machine Learning and Algorithms","score":0.9943000078201294,"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":0.9904000163078308,"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/monte-carlo-method","display_name":"Monte Carlo method","score":0.5878298878669739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5470494031906128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5169007778167725},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.5059680342674255},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.48644328117370605},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.47832536697387695},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4758198857307434},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46646296977996826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44776448607444763},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41113027930259705},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21608424186706543}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5878298878669739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5470494031906128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5169007778167725},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.5059680342674255},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.48644328117370605},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.47832536697387695},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4758198857307434},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46646296977996826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44776448607444763},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41113027930259705},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21608424186706543},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-016-5564-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-016-5564-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-016-5564-x.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-016-5564-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-016-5564-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-016-5564-x.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2332365803.pdf","grobid_xml":"https://content.openalex.org/works/W2332365803.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W66838807","https://openalex.org/W125195847","https://openalex.org/W138425607","https://openalex.org/W193851967","https://openalex.org/W1511986666","https://openalex.org/W1565709818","https://openalex.org/W1774527694","https://openalex.org/W1968669537","https://openalex.org/W1983212629","https://openalex.org/W1994616650","https://openalex.org/W2043719428","https://openalex.org/W2057487175","https://openalex.org/W2079937789","https://openalex.org/W2096192494","https://openalex.org/W2099939455","https://openalex.org/W2100404003","https://openalex.org/W2116064496","https://openalex.org/W2116825644","https://openalex.org/W2116877738","https://openalex.org/W2120340025","https://openalex.org/W2137307912","https://openalex.org/W2140681449","https://openalex.org/W2147357149","https://openalex.org/W2150529939","https://openalex.org/W2156935079","https://openalex.org/W2158097779","https://openalex.org/W2168322240","https://openalex.org/W6602739985","https://openalex.org/W6605108226","https://openalex.org/W6633901960"],"related_works":["https://openalex.org/W2109986081","https://openalex.org/W2417308975","https://openalex.org/W4297589944","https://openalex.org/W4368755698","https://openalex.org/W2964129930","https://openalex.org/W4388627352","https://openalex.org/W2742914308","https://openalex.org/W2330004501","https://openalex.org/W2017089693","https://openalex.org/W2703295919"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
