{"id":"https://openalex.org/W2274386229","doi":"https://doi.org/10.1007/978-3-319-28518-4_28","title":"Functional Representation of Prototypes in LVQ and Relevance Learning","display_name":"Functional Representation of Prototypes in LVQ and Relevance Learning","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2274386229","doi":"https://doi.org/10.1007/978-3-319-28518-4_28","mag":"2274386229"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-28518-4_28","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-28518-4_28","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","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/A5079264070","display_name":"Friedrich Melchert","orcid":"https://orcid.org/0000-0002-9145-2277"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]},{"id":"https://openalex.org/I4210139350","display_name":"Fraunhofer Institute for Factory Operation and Automation","ror":"https://ror.org/04qfaak15","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210139350","https://openalex.org/I4923324"]}],"countries":["DE","NL"],"is_corresponding":false,"raw_author_name":"Friedrich Melchert","raw_affiliation_strings":["Fraunhofer Institute for Factory Operation and Automation IFF, Sandtorstrasse 22, 39106, Magdeburg, Germany","University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science, P.O. Box 407, 9700, Groningen, AK, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Factory Operation and Automation IFF, Sandtorstrasse 22, 39106, Magdeburg, Germany","institution_ids":["https://openalex.org/I4210139350"]},{"raw_affiliation_string":"University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science, P.O. Box 407, 9700, Groningen, AK, The Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035286804","display_name":"Udo Seiffert","orcid":"https://orcid.org/0000-0002-6043-7947"},"institutions":[{"id":"https://openalex.org/I4210139350","display_name":"Fraunhofer Institute for Factory Operation and Automation","ror":"https://ror.org/04qfaak15","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210139350","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Udo Seiffert","raw_affiliation_strings":["Fraunhofer Institute for Factory Operation and Automation IFF, Sandtorstrasse 22, 39106, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Factory Operation and Automation IFF, Sandtorstrasse 22, 39106, Magdeburg, Germany","institution_ids":["https://openalex.org/I4210139350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083548477","display_name":"Michael Biehl","orcid":"https://orcid.org/0000-0001-5148-4568"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Michael Biehl","raw_affiliation_strings":["University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science, P.O. Box 407, 9700, Groningen, AK, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science, P.O. Box 407, 9700, Groningen, AK, The Netherlands","institution_ids":["https://openalex.org/I169381384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3723,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88999723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"317","last_page":"327"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9229999780654907,"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/T10320","display_name":"Neural Networks and Applications","score":0.9229999780654907,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9028000235557556,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.7013348340988159},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6661922931671143},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6045247912406921},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6017105579376221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5264730453491211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5034398436546326},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4925254285335541},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4841095209121704},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4606580436229706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4603753685951233},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4250178337097168},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4217655658721924},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4204689860343933},{"id":"https://openalex.org/keywords/chebyshev-filter","display_name":"Chebyshev filter","score":0.41057395935058594},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39725178480148315},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.28392139077186584}],"concepts":[{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.7013348340988159},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6661922931671143},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6045247912406921},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6017105579376221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5264730453491211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5034398436546326},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4925254285335541},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4841095209121704},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4606580436229706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4603753685951233},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4250178337097168},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4217655658721924},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4204689860343933},{"id":"https://openalex.org/C21424316","wikidata":"https://www.wikidata.org/wiki/Q718621","display_name":"Chebyshev filter","level":2,"score":0.41057395935058594},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39725178480148315},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.28392139077186584},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-319-28518-4_28","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-28518-4_28","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"},{"id":"pmh:oai:pure.rug.nl:openaire_cris_publications/5ac30bae-1421-485d-b5ee-8d272a2d18b3","is_oa":false,"landing_page_url":"https://research.rug.nl/en/publications/5ac30bae-1421-485d-b5ee-8d272a2d18b3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Melchert, F, Seiffert, U & Biehl, M 2016, Functional Representation of Prototypes in LVQ and Relevance Learning. in E Mer\u00e9nyi, M J Mendenhall & P O'Driscoll (eds), Advances in Self-Organizing Maps and Learning Vector Quantization. vol. 428, Advances in Intelligent Systems and Computing, Springer, pp. 317-327. https://doi.org/10.1007/978-3-319-28518-4_28","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:publica.fraunhofer.de:publica/396087","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/396087","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241","https://openalex.org/W2354420595"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}