{"id":"https://openalex.org/W1992761512","doi":"https://doi.org/10.1145/1390156.1390220","title":"Fast estimation of first-order clause coverage through randomization and maximum likelihood","display_name":"Fast estimation of first-order clause coverage through randomization and maximum likelihood","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W1992761512","doi":"https://doi.org/10.1145/1390156.1390220","mag":"1992761512"},"language":"en","primary_location":{"id":"doi:10.1145/1390156.1390220","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390156.1390220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th international conference on Machine learning - ICML '08","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/A5021262042","display_name":"Ond\u0159ej Ku\u017eelka","orcid":"https://orcid.org/0000-0002-6523-9114"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Ond\u0159ej Ku\u017eelka","raw_affiliation_strings":["Czech Technical University in Prague, Czech Republic","Czech Technical Univ in Prague (Czech Republic)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Czech Technical Univ in Prague (Czech Republic)","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062388770","display_name":"Filip \u017delezn\u00fd","orcid":"https://orcid.org/0000-0001-9780-3376"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Filip \u017delezn\u00fd","raw_affiliation_strings":["Czech Technical University in Prague, Czech Republic","Czech Technical Univ in Prague (Czech Republic)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Czech Technical Univ in Prague (Czech Republic)","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7633,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87196353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"504","last_page":"511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9984999895095825,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9984999895095825,"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/T10142","display_name":"Formal Methods in Verification","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9918000102043152,"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":0.7519501447677612},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6790522933006287},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.49710729718208313},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4944765567779541},{"id":"https://openalex.org/keywords/inductive-logic-programming","display_name":"Inductive logic programming","score":0.46830666065216064},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.468291699886322},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42460721731185913},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3587772846221924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2965090274810791},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12900784611701965},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10260313749313354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519501447677612},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6790522933006287},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49710729718208313},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4944765567779541},{"id":"https://openalex.org/C2779382394","wikidata":"https://www.wikidata.org/wiki/Q1464197","display_name":"Inductive logic programming","level":2,"score":0.46830666065216064},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.468291699886322},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42460721731185913},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3587772846221924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2965090274810791},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12900784611701965},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10260313749313354},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/1390156.1390220","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390156.1390220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th international conference on Machine learning - ICML '08","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.140.4483","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.4483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ida.felk.cvut.cz/cgi-bin/docarc/public.pl/document/119/icml08.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.149.8400","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.8400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://icml2008.cs.helsinki.fi/papers/503.pdf","raw_type":"text"},{"id":"pmh:oai:dspace.cvut.cz:10467/60882","is_oa":false,"landing_page_url":"http://hdl.handle.net/10467/60882","pdf_url":null,"source":{"id":"https://openalex.org/S4306400739","display_name":"Cvut DSpace (Czech Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I44504214","host_organization_name":"Czech Technical University in Prague","host_organization_lineage":["https://openalex.org/I44504214"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"kapitola v knize"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1488935569","https://openalex.org/W1516145264","https://openalex.org/W1621457932","https://openalex.org/W1771572785","https://openalex.org/W1996824494","https://openalex.org/W2074563411","https://openalex.org/W2087757633","https://openalex.org/W2095709533","https://openalex.org/W2131102221","https://openalex.org/W2144625221"],"related_works":["https://openalex.org/W1657880117","https://openalex.org/W2595172197","https://openalex.org/W2127970246","https://openalex.org/W2084856301","https://openalex.org/W1001352512","https://openalex.org/W4382618745","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W2118775997","https://openalex.org/W2009141112"],"abstract_inverted_index":{"In":[0,26],"inductive":[1],"logic":[2],"programming,":[3],"\u03b8-subsumption":[4,13],"is":[5,14],"a":[6,18,31,39,45,91],"widely":[7],"used":[8],"coverage":[9,53],"test.":[10],"Unfortunately,":[11],"testing":[12],"NP-complete,":[15],"which":[16],"represents":[17],"crucial":[19],"efficiency":[20],"bottleneck":[21],"for":[22,59],"many":[23],"relational":[24],"learners.":[25],"this":[27,64],"paper,":[28],"we":[29,76],"present":[30],"probabilistic":[32],"estimator":[33],"of":[34],"clause":[35,52],"coverage,":[36],"based":[37],"on":[38],"randomized":[40],"restarted":[41],"search":[42],"strategy.":[43],"Under":[44],"distribution":[46],"assumption,":[47],"our":[48],"algorithm":[49,65],"can":[50],"estimate":[51],"without":[54],"having":[55],"to":[56,90],"decide":[57],"subsumption":[58],"all":[60],"examples.":[61],"We":[62],"implement":[63],"in":[66],"program":[67],"ReCovEr.":[68],"On":[69],"generated":[70],"graph":[71],"data":[72],"and":[73],"real-world":[74],"datasets,":[75],"show":[77],"that":[78],"ReCovEr":[79],"provides":[80],"reasonably":[81],"accurate":[82],"estimates":[83],"while":[84],"achieving":[85],"dramatic":[86],"runtimes":[87],"improvements":[88],"compared":[89],"state-of-the-art":[92],"algorithm.":[93]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}