{"id":"https://openalex.org/W1521503456","doi":"https://doi.org/10.1007/978-3-540-76631-5_51","title":"Optimization Procedure for Predicting Nonlinear Time Series Based on a Non-Gaussian Noise Model","display_name":"Optimization Procedure for Predicting Nonlinear Time Series Based on a Non-Gaussian Noise Model","publication_year":2007,"publication_date":"2007-10-22","ids":{"openalex":"https://openalex.org/W1521503456","doi":"https://doi.org/10.1007/978-3-540-76631-5_51","mag":"1521503456"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-76631-5_51","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-76631-5_51","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":"conference-paper","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/A5057625030","display_name":"Frank Emmert\u2010Streib","orcid":"https://orcid.org/0000-0003-0745-5641"},"institutions":[{"id":"https://openalex.org/I114131015","display_name":"Stowers Institute for Medical Research","ror":"https://ror.org/04bgfm609","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I114131015"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frank Emmert-Streib","raw_affiliation_strings":["Stowers Institute for Medical Research, 1000 E. 50th Street, Kansas City, MO 64110, USA","University of Washington, Seattle, WA and Stowers Institute for Medical Research, Kansas City, MO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stowers Institute for Medical Research, 1000 E. 50th Street, Kansas City, MO 64110, USA","institution_ids":["https://openalex.org/I114131015"]},{"raw_affiliation_string":"University of Washington, Seattle, WA and Stowers Institute for Medical Research, Kansas City, MO","institution_ids":["https://openalex.org/I114131015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044244385","display_name":"Matthias Dehmer","orcid":"https://orcid.org/0000-0001-8454-5857"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Matthias Dehmer","raw_affiliation_strings":["Discrete Mathematics and Geometry, Vienna University of Technology, Wiedner Hauptstrasse 8-10, A-1040 Vienna, Austria","Discrete Mathematics and Geometry, Vienna University of Technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Discrete Mathematics and Geometry, Vienna University of Technology, Wiedner Hauptstrasse 8-10, A-1040 Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Discrete Mathematics and Geometry, Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"540","last_page":"549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9993000030517578,"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":0.9993000030517578,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9878000020980835,"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/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6441866159439087},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6305956244468689},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5922695994377136},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5195437073707581},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.48064103722572327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47323498129844666},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4667048454284668},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4454280138015747},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39135098457336426},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3868328928947449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3624427914619446},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22876182198524475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1995546519756317},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07696932554244995}],"concepts":[{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6441866159439087},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6305956244468689},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5922695994377136},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5195437073707581},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.48064103722572327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47323498129844666},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4667048454284668},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4454280138015747},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39135098457336426},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3868328928947449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3624427914619446},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22876182198524475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1995546519756317},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07696932554244995},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-540-76631-5_51","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-76631-5_51","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:pure.qub.ac.uk/portal:publications/f99c0ceb-1504-42a0-8bed-86dc843be4d1","is_oa":false,"landing_page_url":"https://pure.qub.ac.uk/en/publications/f99c0ceb-1504-42a0-8bed-86dc843be4d1","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Emmert-Streib, F & Dehmer, M 2007, 'Optimization procedure for predicting nonlinear time series based on a non-gaussian noise model', Paper presented at 6th Mexican International Conference on Artificial Intelligence (MICAI 2007), Aguascalientes, Mexico, 01/11/2007 - 01/11/2007 pp. 540-549.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W985156132","https://openalex.org/W1498183065","https://openalex.org/W1571894236","https://openalex.org/W1904429860","https://openalex.org/W1971735090","https://openalex.org/W1977914625","https://openalex.org/W1994513282","https://openalex.org/W1995930498","https://openalex.org/W2024060531","https://openalex.org/W2026480276","https://openalex.org/W2053681597","https://openalex.org/W2075514521","https://openalex.org/W2076209196","https://openalex.org/W2079656678","https://openalex.org/W2095616944","https://openalex.org/W2103139809","https://openalex.org/W2103496339","https://openalex.org/W2134943878","https://openalex.org/W2170123469","https://openalex.org/W2950627632","https://openalex.org/W3125246470","https://openalex.org/W4248343126"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W1970319972","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660","https://openalex.org/W2572355887","https://openalex.org/W2953254336","https://openalex.org/W2112030392"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
