{"id":"https://openalex.org/W4386939569","doi":"https://doi.org/10.1007/978-3-031-44207-0_40","title":"Approximation of\u00a0Binary-Valued Functions by\u00a0Networks of\u00a0Finite VC Dimension","display_name":"Approximation of\u00a0Binary-Valued Functions by\u00a0Networks of\u00a0Finite VC Dimension","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386939569","doi":"https://doi.org/10.1007/978-3-031-44207-0_40"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-44207-0_40","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-44207-0_40","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/A5041761117","display_name":"V\u011bra K\u016frkov\u00e1","orcid":"https://orcid.org/0000-0002-8181-2128"},"institutions":[{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"V\u011bra K\u016frkov\u00e1","raw_affiliation_strings":["Institute of Computer Science of the Czech Academy of Sciences, Pod Vod\u00e1renskou v\u011b\u017e\u00ed\u00a0 2, 18207, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0002-8181-2128","affiliations":[{"raw_affiliation_string":"Institute of Computer Science of the Czech Academy of Sciences, Pod Vod\u00e1renskou v\u011b\u017e\u00ed\u00a0 2, 18207, Prague, Czech Republic","institution_ids":["https://openalex.org/I4210155092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041761117"],"corresponding_institution_ids":["https://openalex.org/I4210155092"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52545156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"483","last_page":"490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12404","display_name":"Mathematical Approximation and Integration","score":0.9473000168800354,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12404","display_name":"Mathematical Approximation and Integration","score":0.9473000168800354,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14351","display_name":"Statistical and Computational Modeling","score":0.9243999719619751,"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9211999773979187,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.8167794942855835},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.7617356777191162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4934028685092926},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.4923175573348999},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.44815006852149963},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.40973272919654846},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3491254448890686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3334241807460785},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1399487555027008},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.13812267780303955},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.1242624819278717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12348726391792297}],"concepts":[{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.8167794942855835},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.7617356777191162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4934028685092926},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.4923175573348999},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.44815006852149963},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.40973272919654846},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3491254448890686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3334241807460785},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1399487555027008},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.13812267780303955},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.1242624819278717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12348726391792297}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-44207-0_40","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-44207-0_40","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W913685725","https://openalex.org/W1786513448","https://openalex.org/W1971361630","https://openalex.org/W1989274820","https://openalex.org/W2020913456","https://openalex.org/W2042587503","https://openalex.org/W2074381721","https://openalex.org/W2528305538","https://openalex.org/W2605622124","https://openalex.org/W2892053535","https://openalex.org/W2923495523","https://openalex.org/W3167806060","https://openalex.org/W4210556995","https://openalex.org/W4233413206","https://openalex.org/W4250954493","https://openalex.org/W4379741268"],"related_works":["https://openalex.org/W2171221472","https://openalex.org/W2368130315","https://openalex.org/W3177870706","https://openalex.org/W2498835000","https://openalex.org/W2737349826","https://openalex.org/W3119645134","https://openalex.org/W3124157877","https://openalex.org/W3113145869","https://openalex.org/W2087686193","https://openalex.org/W4293353728"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-02-06T02:01:19.302388","created_date":"2023-09-22T00:00:00"}
