{"id":"https://openalex.org/W15233933","doi":"https://doi.org/10.1007/978-3-642-33460-3_17","title":"The Bitvector Machine: A Fast and Robust Machine Learning Algorithm for Non-linear Problems","display_name":"The Bitvector Machine: A Fast and Robust Machine Learning Algorithm for Non-linear Problems","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W15233933","doi":"https://doi.org/10.1007/978-3-642-33460-3_17","mag":"15233933"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-33460-3_17","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-642-33460-3_17.pdf","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_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"book-chapter","type_crossref":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-642-33460-3_17.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058729606","display_name":"Stefan Edelkamp","orcid":"https://orcid.org/0000-0001-8435-5025"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"funder","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Edelkamp","raw_affiliation_strings":["Research Group Artificial Intelligence, Universit\u00e4t Bremen, Am Fallturm 1, 28359, Bremen, Germany"],"affiliations":[{"raw_affiliation_string":"Research Group Artificial Intelligence, Universit\u00e4t Bremen, Am Fallturm 1, 28359, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086040899","display_name":"Martin Stommel","orcid":"https://orcid.org/0000-0002-7297-0351"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"funder","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Stommel","raw_affiliation_strings":["Research Group Artificial Intelligence, Universit\u00e4t Bremen, Am Fallturm 1, 28359, Bremen, Germany"],"affiliations":[{"raw_affiliation_string":"Research Group Artificial Intelligence, Universit\u00e4t Bremen, Am Fallturm 1, 28359, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]}],"institution_assertions":[],"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":1.4,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":6,"citation_normalized_percentile":{"value":0.595636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":81,"max":82},"biblio":{"volume":null,"issue":null,"first_page":"175","last_page":"190"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9988,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9988,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9985,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/kernel","display_name":"Kernel (algebra)","score":0.6028318},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.4963146},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.4319029}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8082961},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7175015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6436754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.62944436},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6028318},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.5913444},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5743101},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5357835},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.4963146},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.4319029},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.4301946},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.41071704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12345046},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-33460-3_17","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-642-33460-3_17.pdf","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_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-33460-3_17","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-642-33460-3_17.pdf","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_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":37,"referenced_works":["https://openalex.org/W1485231155","https://openalex.org/W1486352965","https://openalex.org/W1507039213","https://openalex.org/W1540550673","https://openalex.org/W1552694902","https://openalex.org/W1563088657","https://openalex.org/W1604792744","https://openalex.org/W1672197616","https://openalex.org/W1878118044","https://openalex.org/W1915938133","https://openalex.org/W1992140187","https://openalex.org/W1996641400","https://openalex.org/W2059471177","https://openalex.org/W2081275594","https://openalex.org/W2096989899","https://openalex.org/W2105867876","https://openalex.org/W2119605622","https://openalex.org/W2124386111","https://openalex.org/W2129905273","https://openalex.org/W2135106139","https://openalex.org/W2143570267","https://openalex.org/W2149906774","https://openalex.org/W2155120195","https://openalex.org/W2155130690","https://openalex.org/W2165533158","https://openalex.org/W2165558283","https://openalex.org/W2171767282","https://openalex.org/W2278385633","https://openalex.org/W2293711698","https://openalex.org/W26816478","https://openalex.org/W2912728463","https://openalex.org/W3023786531","https://openalex.org/W3104921985","https://openalex.org/W3145128584","https://openalex.org/W4233014035","https://openalex.org/W4251391716","https://openalex.org/W43704840"],"related_works":["https://openalex.org/W2753229704","https://openalex.org/W2392890851","https://openalex.org/W2373430648","https://openalex.org/W2361876834","https://openalex.org/W2348982811","https://openalex.org/W2149539312","https://openalex.org/W2143867687","https://openalex.org/W2130972437","https://openalex.org/W2075298172","https://openalex.org/W1545250539"],"abstract_inverted_index":null,"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W15233933","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2025-04-18T11:35:16.294133","created_date":"2016-06-24"}