{"id":"https://openalex.org/W2059009780","doi":"https://doi.org/10.1109/cip.2010.5604254","title":"Space-alternating attribute-distributed sparse learning","display_name":"Space-alternating attribute-distributed sparse learning","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2059009780","doi":"https://doi.org/10.1109/cip.2010.5604254","mag":"2059009780"},"language":"en","primary_location":{"id":"doi:10.1109/cip.2010.5604254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cip.2010.5604254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Workshop on Cognitive Information Processing","raw_type":"proceedings-article"},"type":"article","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/A5047628893","display_name":"Dmitriy Shutin","orcid":"https://orcid.org/0000-0002-6065-6453"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dmitriy Shutin","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","Department of Electrical Engineering, Princeton University, NJ, U.S.A#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, NJ, U.S.A#TAB#","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034284306","display_name":"Haipeng Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haipeng Zheng","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","Department of Electrical Engineering, Princeton University, NJ, U.S.A#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, NJ, U.S.A#TAB#","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064657299","display_name":"Bernard H. Fleury","orcid":"https://orcid.org/0000-0002-9061-3083"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Bernard H. Fleury","raw_affiliation_strings":["Section Navigation and Communications, Department of Electronic Systems, University of Aalborg, Aalborg, Denmark","Section Navigation and Communications, Department of Electronic Systems, Aalborg University, Denmark"],"affiliations":[{"raw_affiliation_string":"Section Navigation and Communications, Department of Electronic Systems, University of Aalborg, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"Section Navigation and Communications, Department of Electronic Systems, Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053530986","display_name":"Sanjeev R. Kulkarni","orcid":"https://orcid.org/0000-0002-5308-5250"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjeev R. Kulkarni","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","Department of Electrical Engineering, Princeton University, NJ, U.S.A#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, NJ, U.S.A#TAB#","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042307561","display_name":"H. Vincent Poor","orcid":"https://orcid.org/0000-0002-2062-131X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Vincent Poor","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","Department of Electrical Engineering, Princeton University, NJ, U.S.A#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, NJ, U.S.A#TAB#","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047628893"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":1.858,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87605395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"209","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9998999834060669,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9998999834060669,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9954000115394592,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7424266338348389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7313339114189148},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.588053286075592},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5106685757637024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4431113600730896},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.41718822717666626},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.41337862610816956},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40683484077453613},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3963488042354584},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34278571605682373},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3347504138946533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19847697019577026},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1008167564868927}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7424266338348389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7313339114189148},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.588053286075592},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5106685757637024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4431113600730896},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.41718822717666626},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.41337862610816956},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40683484077453613},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3963488042354584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34278571605682373},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3347504138946533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19847697019577026},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1008167564868927},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cip.2010.5604254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cip.2010.5604254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Workshop on Cognitive Information Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/04c2c7f0-44ce-11df-a11e-000ea68e967b","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/04c2c7f0-44ce-11df-a11e-000ea68e967b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Shutin , D , Zheng , H , Fleury , B H , Kulkarni , S R &amp; Poor , H V 2010 , Space-alternating attribute-distributed sparse learning . in 2nd IAPR International Workshop on Cognitive Information Processing, CIP 2010 : Proceedings . IEEE Press , Uden navn , pp. 209-214 , 2nd IAPR International Workshop on Cognitive Information Processing (CIP 2010) , Elba Island , Italy , 14/06/2010 . https://doi.org/10.1109/CIP.2010.5604254","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W202059055","https://openalex.org/W207057305","https://openalex.org/W1506806321","https://openalex.org/W1526785773","https://openalex.org/W1552133753","https://openalex.org/W1633751774","https://openalex.org/W1663973292","https://openalex.org/W1963944982","https://openalex.org/W1968299022","https://openalex.org/W1969983559","https://openalex.org/W1973644476","https://openalex.org/W1992507574","https://openalex.org/W2000721204","https://openalex.org/W2106740353","https://openalex.org/W2135647798","https://openalex.org/W2146941529","https://openalex.org/W2161623414","https://openalex.org/W2963723819","https://openalex.org/W4285719527","https://openalex.org/W6608211845","https://openalex.org/W6631642797","https://openalex.org/W6633175866","https://openalex.org/W6636690510","https://openalex.org/W6675895356"],"related_works":["https://openalex.org/W1585770001","https://openalex.org/W2075873371","https://openalex.org/W4245210885","https://openalex.org/W84383711","https://openalex.org/W4242351093","https://openalex.org/W2562263695","https://openalex.org/W2135187896","https://openalex.org/W2147201983","https://openalex.org/W2015518264","https://openalex.org/W2795035211"],"abstract_inverted_index":{"The":[0],"paper":[1],"proposes":[2],"a":[3,58,80,110],"new":[4],"variational":[5,27],"Bayesian":[6,93],"algorithm":[7,24,35,97,145],"for":[8,112,119],"multivariate":[9],"regression":[10],"with":[11],"attribute-distributed":[12],"or":[13],"dimensionally":[14],"distributed":[15,81,176],"data.":[16],"Compared":[17],"to":[18,61,76,163,166],"the":[19,22,26,30,47,51,68,86,96,102,121,134,143,151,164,172],"existing":[20,147],"approaches":[21],"proposed":[23,144],"exploits":[25],"version":[28],"of":[29,39,46,57,67,123],"Space-Alternating":[31],"Generalized":[32],"Expectation-Maximization":[33],"(SAGE)":[34],"that":[36,65,142],"by":[37,83,92],"means":[38],"admissible":[40],"hidden":[41],"data":[42,49,132],"-":[43,54],"an":[44],"analog":[45],"complete":[48],"in":[50,79,150,159],"EM":[52],"framework":[53],"allows":[55,74],"parameters":[56,66,104],"single":[59],"agent":[60,103,180],"be":[62,77],"updated":[63],"assuming":[64],"other":[69],"agents":[70,87],"are":[71],"fixed.":[72],"This":[73,108],"learning":[75],"implemented":[78],"fashion":[82],"sequentially":[84],"updating":[85],"one":[88],"after":[89],"another.":[90],"Inspired":[91],"sparsity":[94],"techniques,":[95],"also":[98],"introduces":[99],"constraints":[100],"on":[101],"via":[105],"parametric":[106],"priors.":[107],"adds":[109],"mechanism":[111],"pruning":[113],"irrelevant":[114],"agents,":[115,169],"as":[116,118,128,130,156,158],"well":[117,129,157],"minimizing":[120],"effect":[122],"overfitting.":[124],"Using":[125],"synthetic":[126],"data,":[127],"measurement":[131],"from":[133],"UCI":[135],"Machine":[136],"Learning":[137],"Repository":[138],"it":[139],"is":[140],"demonstrated":[141],"outperforms":[146],"solutions":[148],"both":[149],"achieved":[152],"mean-square":[153],"error":[154],"(MSE),":[155],"convergence":[160],"speed":[161],"due":[162],"ability":[165],"sparsify":[167],"noninformative":[168],"while":[170],"at":[171],"same":[173],"time":[174],"allowing":[175],"implementation":[177],"and":[178],"flexible":[179],"update":[181],"protocols.":[182]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
