乐胖代购免代理版

{"id":"https://openalex.org/W1543901720","doi":"https://doi.org/10.1007/978-3-540-74494-8_35","title":"Smooth Component Analysis as Ensemble Method for Prediction Improvement","display_name":"Smooth Component Analysis as Ensemble Method for Prediction Improvement","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W1543901720","doi":"https://doi.org/10.1007/978-3-540-74494-8_35","mag":"1543901720"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-74494-8_35","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/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"book-chapter","type_crossref":"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/A5022426516","display_name":"Ryszard Szupiluk","orcid":"https://orcid.org/0000-0002-4416-7131"},"institutions":[{"id":"https://openalex.org/I18193975","display_name":"SGH Warsaw School of Economics","ror":"https://ror.org/032cph770","country_code":"PL","type":"education","lineage":["https://openalex.org/I18193975"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Ryszard Szupiluk","raw_affiliation_strings":["Polska Telefonia Cyfrowa Ltd, Warsaw, Poland and Warsaw School of Economics, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Polska Telefonia Cyfrowa Ltd, Warsaw, Poland and Warsaw School of Economics, Warsaw, Poland","institution_ids":["https://openalex.org/I18193975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034380021","display_name":"Piotr Wojewnik","orcid":null},"institutions":[{"id":"https://openalex.org/I18193975","display_name":"SGH Warsaw School of Economics","ror":"https://ror.org/032cph770","country_code":"PL","type":"education","lineage":["https://openalex.org/I18193975"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Wojewnik","raw_affiliation_strings":["Polska Telefonia Cyfrowa Ltd, Warsaw, Poland and Warsaw School of Economics, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Polska Telefonia Cyfrowa Ltd, Warsaw, Poland and Warsaw School of Economics, Warsaw, Poland","institution_ids":["https://openalex.org/I18193975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029575854","display_name":"Tomasz Z\u0105bkowski","orcid":"https://orcid.org/0000-0003-1722-1179"},"institutions":[{"id":"https://openalex.org/I126469861","display_name":"Orange (Poland)","ror":"https://ror.org/05dt0hn88","country_code":"PL","type":"company","lineage":["https://openalex.org/I126469861","https://openalex.org/I19370010"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz Z\u0105bkowski","raw_affiliation_strings":["Polska Telefonia Cyfrowa Ltd., Warsaw, Poland and Warsaw Agricultural University, Warsaw, Poland#TAB#"],"affiliations":[{"raw_affiliation_string":"Polska Telefonia Cyfrowa Ltd., Warsaw, Poland and Warsaw Agricultural University, Warsaw, Poland#TAB#","institution_ids":["https://openalex.org/I126469861"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392,"provenance":"doaj"},"apc_paid":null,"fwci":1.346,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.758663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"277","last_page":"284"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9977,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9974,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/constructive","display_name":"Constructive","score":0.7554714},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.69378364},{"id":"https://openalex.org/keywords/component-analysis","display_name":"Component analysis","score":0.41055158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8001056},{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.7554714},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.69378364},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5444277},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5011468},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.4693148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45068824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43581593},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.41055158},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36231765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34232628},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-74494-8_35","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/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W1489793438","https://openalex.org/W1514159701","https://openalex.org/W1541528797","https://openalex.org/W1542136219","https://openalex.org/W1548802052","https://openalex.org/W1563527684","https://openalex.org/W1603903339","https://openalex.org/W1902027874","https://openalex.org/W1989780425","https://openalex.org/W2055439724","https://openalex.org/W2154332973","https://openalex.org/W2156550040","https://openalex.org/W2158466026","https://openalex.org/W2167217202","https://openalex.org/W2341760625","https://openalex.org/W2798909945","https://openalex.org/W2912934387","https://openalex.org/W2916837318","https://openalex.org/W4205778870","https://openalex.org/W59009386"],"related_works":["https://openalex.org/W94411513","https://openalex.org/W4311883357","https://openalex.org/W4300816516","https://openalex.org/W309910862","https://openalex.org/W2377770720","https://openalex.org/W2364696089","https://openalex.org/W2197168648","https://openalex.org/W2113626999","https://openalex.org/W2015980849","https://openalex.org/W160889949"],"abstract_inverted_index":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1543901720","counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2024-12-24T16:35:17.922707","created_date":"2016-06-24"}