{"id":"https://openalex.org/W2734571240","doi":"https://doi.org/10.1007/978-3-319-63859-1_41","title":"Time Series Data Analysis with Particle Filter-Based Relevance Vectors Machine Learning","display_name":"Time Series Data Analysis with Particle Filter-Based Relevance Vectors Machine Learning","publication_year":2017,"publication_date":"2017-07-17","ids":{"openalex":"https://openalex.org/W2734571240","doi":"https://doi.org/10.1007/978-3-319-63859-1_41","mag":"2734571240"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-63859-1_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-63859-1_41","pdf_url":null,"source":{"id":"https://openalex.org/S4210172046","display_name":"Smart innovation, systems and technologies","issn_l":"2190-3018","issn":["2190-3018","2190-3026"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Innovation, Systems and Technologies","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/A5052846378","display_name":"Xiuli Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146077","display_name":"China National Institute of Standardization","ror":"https://ror.org/03qzxj964","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146077"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiuli Ning","raw_affiliation_strings":["Quality Management Branch, China National Institute of Standardization, Beijing, 10001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quality Management Branch, China National Institute of Standardization, Beijing, 10001, China","institution_ids":["https://openalex.org/I4210146077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101067362","display_name":"Yingcheng Xu","orcid":"https://orcid.org/0009-0007-1698-3565"},"institutions":[{"id":"https://openalex.org/I4210146077","display_name":"China National Institute of Standardization","ror":"https://ror.org/03qzxj964","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146077"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingcheng Xu","raw_affiliation_strings":["Quality Management Branch, China National Institute of Standardization, Beijing, 10001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quality Management Branch, China National Institute of Standardization, Beijing, 10001, China","institution_ids":["https://openalex.org/I4210146077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414185","display_name":"Ying Li","orcid":"https://orcid.org/0000-0002-2813-9480"},"institutions":[{"id":"https://openalex.org/I4210146077","display_name":"China National Institute of Standardization","ror":"https://ror.org/03qzxj964","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146077"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Li","raw_affiliation_strings":["Quality Management Branch, China National Institute of Standardization, Beijing, 10001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quality Management Branch, China National Institute of Standardization, Beijing, 10001, China","institution_ids":["https://openalex.org/I4210146077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107954208","display_name":"Ya Li","orcid":"https://orcid.org/0000-0002-5947-1793"},"institutions":[{"id":"https://openalex.org/I4210146077","display_name":"China National Institute of Standardization","ror":"https://ror.org/03qzxj964","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146077"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Li","raw_affiliation_strings":["Quality Management Branch, China National Institute of Standardization, Beijing, 10001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quality Management Branch, China National Institute of Standardization, Beijing, 10001, China","institution_ids":["https://openalex.org/I4210146077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5052846378"],"corresponding_institution_ids":["https://openalex.org/I4210146077"],"apc_list":null,"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":"335","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.991599977016449,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.991599977016449,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9732999801635742,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/time-series","display_name":"Time series","score":0.7195960879325867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6534612774848938},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6061695218086243},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5252477526664734},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5152771472930908},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5047639608383179},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.49539291858673096},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48352885246276855},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.463725745677948},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4618474841117859},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46125683188438416},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.43918025493621826},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4224736988544464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41549280285835266},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4110642373561859},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15025857090950012},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14604264497756958}],"concepts":[{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.7195960879325867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6534612774848938},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6061695218086243},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5252477526664734},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5152771472930908},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5047639608383179},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.49539291858673096},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48352885246276855},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.463725745677948},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4618474841117859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46125683188438416},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43918025493621826},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4224736988544464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41549280285835266},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4110642373561859},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15025857090950012},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14604264497756958},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-63859-1_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-63859-1_41","pdf_url":null,"source":{"id":"https://openalex.org/S4210172046","display_name":"Smart innovation, systems and technologies","issn_l":"2190-3018","issn":["2190-3018","2190-3026"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Innovation, Systems and Technologies","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1591455812","https://openalex.org/W2051519930","https://openalex.org/W2096088939","https://openalex.org/W2148620026","https://openalex.org/W2364833288","https://openalex.org/W2532228532","https://openalex.org/W2578338006","https://openalex.org/W3140888460"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}