{"id":"https://openalex.org/W2510707536","doi":"https://doi.org/10.1007/s12559-017-9450-z","title":"Training Echo State Networks with Regularization Through Dimensionality Reduction","display_name":"Training Echo State Networks with Regularization Through Dimensionality Reduction","publication_year":2017,"publication_date":"2017-01-13","ids":{"openalex":"https://openalex.org/W2510707536","doi":"https://doi.org/10.1007/s12559-017-9450-z","mag":"2510707536"},"language":"en","primary_location":{"id":"doi:10.1007/s12559-017-9450-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12559-017-9450-z","pdf_url":null,"source":{"id":"https://openalex.org/S133078663","display_name":"Cognitive Computation","issn_l":"1866-9956","issn":["1866-9956","1866-9964"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cognitive Computation","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1608.04622","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sigurd L\u00f8kse","orcid":null},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Sigurd L\u00f8kse","raw_affiliation_strings":["Machine Learning Group, Department of Physics and Technology, University of Troms\u00f8 - The Arctic University of Norway, Troms\u00f8, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning Group, Department of Physics and Technology, University of Troms\u00f8 - The Arctic University of Norway, Troms\u00f8, Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Filippo Maria Bianchi","orcid":"https://orcid.org/0000-0002-7145-3846"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Filippo Maria Bianchi","raw_affiliation_strings":["Machine Learning Group, Department of Physics and Technology, University of Troms\u00f8 - The Arctic University of Norway, Troms\u00f8, Norway"],"raw_orcid":"https://orcid.org/0000-0002-7145-3846","affiliations":[{"raw_affiliation_string":"Machine Learning Group, Department of Physics and Technology, University of Troms\u00f8 - The Arctic University of Norway, Troms\u00f8, Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"last","author":{"id":null,"display_name":"Robert Jenssen","orcid":null},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Robert Jenssen","raw_affiliation_strings":["Machine Learning Group, Department of Physics and Technology, University of Troms\u00f8 - The Arctic University of Norway, Troms\u00f8, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning Group, Department of Physics and Technology, University of Troms\u00f8 - The Arctic University of Norway, Troms\u00f8, Norway","institution_ids":["https://openalex.org/I78037679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78037679"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":null,"fwci":5.3833,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.96407977,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"9","issue":"3","first_page":"364","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9460999965667725,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9460999965667725,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.02810000069439411,"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"}},{"id":"https://openalex.org/T11804","display_name":"Quantum many-body systems","score":0.004800000227987766,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"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/embedding","display_name":"Embedding","score":0.6945000290870667},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5813999772071838},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5533999800682068},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5375000238418579},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5339999794960022},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.529699981212616},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.4991999864578247},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49480000138282776},{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.4864000082015991},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4553999900817871}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419999837875366},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6945000290870667},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5813999772071838},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5533999800682068},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5375000238418579},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5339999794960022},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.529699981212616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5099999904632568},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.4991999864578247},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49480000138282776},{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.4864000082015991},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4553999900817871},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4429999887943268},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40790000557899475},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.3817000091075897},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.3806000053882599},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.36719998717308044},{"id":"https://openalex.org/C151342819","wikidata":"https://www.wikidata.org/wiki/Q62542","display_name":"Phase space","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3366999924182892},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3059999942779541},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.2696000039577484},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.265500009059906},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.2635999917984009}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s12559-017-9450-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12559-017-9450-z","pdf_url":null,"source":{"id":"https://openalex.org/S133078663","display_name":"Cognitive Computation","issn_l":"1866-9956","issn":["1866-9956","1866-9964"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cognitive Computation","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1608.04622","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1608.04622","pdf_url":"https://arxiv.org/pdf/1608.04622","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:munin.uit.no:10037/13086","is_oa":true,"landing_page_url":"https://hdl.handle.net/10037/13086","pdf_url":null,"source":{"id":"https://openalex.org/S4306400066","display_name":"Munin Open Research Archive (The Arctic University of Norway)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I78037679","host_organization_name":"UiT The Arctic University of Norway","host_organization_lineage":["https://openalex.org/I78037679"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1608.04622","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1608.04622","pdf_url":"https://arxiv.org/pdf/1608.04622","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1236752751","https://openalex.org/W1501306604","https://openalex.org/W1516408259","https://openalex.org/W1532679390","https://openalex.org/W1542602301","https://openalex.org/W1549386224","https://openalex.org/W1571401318","https://openalex.org/W1587559447","https://openalex.org/W1669737173","https://openalex.org/W1840338487","https://openalex.org/W1908962573","https://openalex.org/W1971017968","https://openalex.org/W1981504637","https://openalex.org/W1984391316","https://openalex.org/W1984516841","https://openalex.org/W2001631452","https://openalex.org/W2005914283","https://openalex.org/W2010461070","https://openalex.org/W2012001772","https://openalex.org/W2022637272","https://openalex.org/W2035740143","https://openalex.org/W2040704490","https://openalex.org/W2041645455","https://openalex.org/W2042489792","https://openalex.org/W2047125104","https://openalex.org/W2047414638","https://openalex.org/W2048694956","https://openalex.org/W2050142243","https://openalex.org/W2071128523","https://openalex.org/W2074477564","https://openalex.org/W2081681829","https://openalex.org/W2087901299","https://openalex.org/W2116374140","https://openalex.org/W2118706537","https://openalex.org/W2125303539","https://openalex.org/W2126131432","https://openalex.org/W2136325969","https://openalex.org/W2138895714","https://openalex.org/W2139212933","https://openalex.org/W2140683404","https://openalex.org/W2147717514","https://openalex.org/W2149803014","https://openalex.org/W2152254020","https://openalex.org/W2159075893","https://openalex.org/W2161278885","https://openalex.org/W2161920802","https://openalex.org/W2162896273","https://openalex.org/W2167391087","https://openalex.org/W2168973828","https://openalex.org/W2171865010","https://openalex.org/W2255581062","https://openalex.org/W2464909783","https://openalex.org/W2479877058","https://openalex.org/W2510434276","https://openalex.org/W2736246337","https://openalex.org/W4234345389","https://openalex.org/W4299429830"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":8}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2016-09-16T00:00:00"}
