{"id":"https://openalex.org/W2745774875","doi":"https://doi.org/10.1007/978-3-319-66158-2_33","title":"Learning the Parameters of Global Constraints Using Branch-and-Bound","display_name":"Learning the Parameters of Global Constraints Using Branch-and-Bound","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2745774875","doi":"https://doi.org/10.1007/978-3-319-66158-2_33","mag":"2745774875"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-66158-2_33","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-66158-2_33","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5077476550","display_name":"\u00c9milie Picard-Cantin","orcid":null},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"\u00c9milie Picard-Cantin","raw_affiliation_strings":["Universit\u00e9 Laval, Quebec City, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Laval, Quebec City, Canada","institution_ids":["https://openalex.org/I43406934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007238812","display_name":"Mathieu Bouchard","orcid":"https://orcid.org/0000-0003-0261-3153"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mathieu Bouchard","raw_affiliation_strings":["PetalMD, Quebec City, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PetalMD, Quebec City, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046366918","display_name":"Claude-Guy Quimper","orcid":"https://orcid.org/0000-0002-5899-0217"},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Claude-Guy Quimper","raw_affiliation_strings":["Universit\u00e9 Laval, Quebec City, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Laval, Quebec City, Canada","institution_ids":["https://openalex.org/I43406934"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114097958","display_name":"Jason Sweeney","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jason Sweeney","raw_affiliation_strings":["PetalMD, Quebec City, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PetalMD, Quebec City, Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.7158,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85703722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"512","last_page":"528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9302999973297119,"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":0.7786358594894409},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.7596468925476074},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.6521593928337097},{"id":"https://openalex.org/keywords/branch-and-bound","display_name":"Branch and bound","score":0.6421730518341064},{"id":"https://openalex.org/keywords/constraint-learning","display_name":"Constraint learning","score":0.5894075632095337},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5780553817749023},{"id":"https://openalex.org/keywords/constraint-satisfaction-problem","display_name":"Constraint satisfaction problem","score":0.547549843788147},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5425759553909302},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5377492904663086},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5226799845695496},{"id":"https://openalex.org/keywords/constraint-programming","display_name":"Constraint programming","score":0.5188513994216919},{"id":"https://openalex.org/keywords/constraint-logic-programming","display_name":"Constraint logic programming","score":0.49398475885391235},{"id":"https://openalex.org/keywords/binary-constraint","display_name":"Binary constraint","score":0.4892137050628662},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4847097396850586},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4673612117767334},{"id":"https://openalex.org/keywords/constraint-satisfaction-dual-problem","display_name":"Constraint satisfaction dual problem","score":0.4503164291381836},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.44190797209739685},{"id":"https://openalex.org/keywords/constraint-graph","display_name":"Constraint graph","score":0.4186481833457947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3702394366264343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.342171311378479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15852540731430054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7786358594894409},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.7596468925476074},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.6521593928337097},{"id":"https://openalex.org/C93693863","wikidata":"https://www.wikidata.org/wiki/Q897659","display_name":"Branch and bound","level":2,"score":0.6421730518341064},{"id":"https://openalex.org/C29230964","wikidata":"https://www.wikidata.org/wiki/Q5164376","display_name":"Constraint learning","level":5,"score":0.5894075632095337},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5780553817749023},{"id":"https://openalex.org/C199622910","wikidata":"https://www.wikidata.org/wiki/Q1128326","display_name":"Constraint satisfaction problem","level":3,"score":0.547549843788147},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5425759553909302},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5377492904663086},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5226799845695496},{"id":"https://openalex.org/C173404611","wikidata":"https://www.wikidata.org/wiki/Q528588","display_name":"Constraint programming","level":3,"score":0.5188513994216919},{"id":"https://openalex.org/C176783269","wikidata":"https://www.wikidata.org/wiki/Q5164378","display_name":"Constraint logic programming","level":4,"score":0.49398475885391235},{"id":"https://openalex.org/C79475747","wikidata":"https://www.wikidata.org/wiki/Q4913885","display_name":"Binary constraint","level":5,"score":0.4892137050628662},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4847097396850586},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4673612117767334},{"id":"https://openalex.org/C183046576","wikidata":"https://www.wikidata.org/wiki/Q5164380","display_name":"Constraint satisfaction dual problem","level":5,"score":0.4503164291381836},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.44190797209739685},{"id":"https://openalex.org/C178481205","wikidata":"https://www.wikidata.org/wiki/Q5164372","display_name":"Constraint graph","level":5,"score":0.4186481833457947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3702394366264343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.342171311378479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15852540731430054},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-66158-2_33","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-66158-2_33","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:corpus.ulaval.ca:20.500.11794/32584","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11794/32584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article dans une conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W10942467","https://openalex.org/W80684329","https://openalex.org/W127277165","https://openalex.org/W141304919","https://openalex.org/W829296453","https://openalex.org/W855425110","https://openalex.org/W1511188054","https://openalex.org/W1544798019","https://openalex.org/W1545342822","https://openalex.org/W1559401849","https://openalex.org/W1589158051","https://openalex.org/W1598210495","https://openalex.org/W1776181708","https://openalex.org/W1871992796","https://openalex.org/W1968448945","https://openalex.org/W1986737286","https://openalex.org/W1993850412","https://openalex.org/W2022088719","https://openalex.org/W2046653058","https://openalex.org/W2170780172","https://openalex.org/W2232834753","https://openalex.org/W2247151582","https://openalex.org/W2296605212","https://openalex.org/W2407003543","https://openalex.org/W2511658437","https://openalex.org/W2558952101","https://openalex.org/W2572695936","https://openalex.org/W2574105555","https://openalex.org/W2729734553"],"related_works":["https://openalex.org/W2141935412","https://openalex.org/W2737098235","https://openalex.org/W3035232911","https://openalex.org/W2091348864","https://openalex.org/W2569549435","https://openalex.org/W2784687883","https://openalex.org/W1486916474","https://openalex.org/W1532176371","https://openalex.org/W115413730","https://openalex.org/W2992108460"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2017-08-31T00:00:00"}