{"id":"https://openalex.org/W2231897884","doi":null,"title":"A Fast Learning Strategy Using Pattern Selection for Feedforward Neural Networks","display_name":"A Fast Learning Strategy Using Pattern Selection for Feedforward Neural Networks","publication_year":2006,"publication_date":"2006-10-23","ids":{"openalex":"https://openalex.org/W2231897884","mag":"2231897884"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.144.1017","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.1017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.loria.fr/~abelaid/publis/iwfhr06-vajda.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/inria-00104833","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011181754","display_name":"Szil\u00e1rd Vajda","orcid":"https://orcid.org/0000-0003-0820-3761","observed_orcids":["https://orcid.org/0000-0003-0820-3761","https://orcid.org/0000-0002-0717-9619"]},"institutions":[{"id":"https://openalex.org/I2802024444","display_name":"READ Global","ror":"https://ror.org/02arxvh93","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2802024444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Szil\u00e1rd Vajda","raw_affiliation_strings":["READ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"READ","institution_ids":["https://openalex.org/I2802024444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025447862","display_name":"Hubert Cecotti","orcid":"https://orcid.org/0000-0002-7661-0070","observed_orcids":["https://orcid.org/0000-0002-7661-0070"]},"institutions":[{"id":"https://openalex.org/I2802024444","display_name":"READ Global","ror":"https://ror.org/02arxvh93","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2802024444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hubert Cecotti","raw_affiliation_strings":["READ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"READ","institution_ids":["https://openalex.org/I2802024444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008505214","display_name":"Yves Rangoni","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2802024444","display_name":"READ Global","ror":"https://ror.org/02arxvh93","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2802024444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yves Rangoni","raw_affiliation_strings":["READ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"READ","institution_ids":["https://openalex.org/I2802024444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002810227","display_name":"Abdel Bela\u00efd","orcid":"https://orcid.org/0000-0002-9107-1204","observed_orcids":["https://orcid.org/0000-0002-9107-1204"]},"institutions":[{"id":"https://openalex.org/I2802024444","display_name":"READ Global","ror":"https://ror.org/02arxvh93","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2802024444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdel Bela\u00efd","raw_affiliation_strings":["READ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"READ","institution_ids":["https://openalex.org/I2802024444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2802024444"],"apc_list":null,"apc_paid":null,"fwci":0.7057,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74217575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"6","last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.8779000043869019,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.8779000043869019,"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/T10320","display_name":"Neural Networks and Applications","score":0.08269999921321869,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.018799999728798866,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/active-learning-machine-learning","display_name":"active learning (machine learning)","score":0.9750000238418579},{"id":"https://openalex.org/keywords/pattern-selection","display_name":"pattern selection","score":0.9700000286102295},{"id":"https://openalex.org/keywords/feedforward-neural-networks","display_name":"feedforward neural networks","score":0.9649999737739563},{"id":"https://openalex.org/keywords/training-sample-selection","display_name":"training data selection","score":0.6060000061988831},{"id":"https://openalex.org/keywords/error-sensitivity","display_name":"error sensitivity","score":0.7080000042915344},{"id":"https://openalex.org/keywords/mnist-classification","display_name":"MNIST classification","score":0.7480000257492065},{"id":"https://openalex.org/keywords/training-set-reduction","display_name":"training data reduction","score":0.4090000092983246}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7498360872268677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7036120891571045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698975145816803},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.685356616973877},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6025639176368713},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.579355776309967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4759518802165985},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4648036062717438},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.4413713216781616}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.144.1017","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.1017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.loria.fr/~abelaid/publis/iwfhr06-vajda.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:inria-00104833v1","doi":null,"is_oa":true,"landing_page_url":"https://inria.hal.science/inria-00104833","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"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":"Tenth International Workshop on Frontiers in Handwriting Recognition 2006 - IWFHR'10, Universit\u00e9 de Rennes 1, Oct 2006, La Baule, France. pp.6","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:inria-00104833v1","doi":null,"is_oa":true,"landing_page_url":"https://inria.hal.science/inria-00104833","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"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":"Tenth International Workshop on Frontiers in Handwriting Recognition 2006 - IWFHR'10, Universit\u00e9 de Rennes 1, Oct 2006, La Baule, France. pp.6","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W184442817","https://openalex.org/W1496929357","https://openalex.org/W1500256378","https://openalex.org/W1554663460","https://openalex.org/W1581062453","https://openalex.org/W1599010068","https://openalex.org/W1978626680","https://openalex.org/W2029602137","https://openalex.org/W2080021732","https://openalex.org/W2097438296","https://openalex.org/W2103753221","https://openalex.org/W2111422167","https://openalex.org/W2112796928","https://openalex.org/W2114766824","https://openalex.org/W2119479037","https://openalex.org/W2133097426","https://openalex.org/W2154642048","https://openalex.org/W2156163116","https://openalex.org/W2171899580","https://openalex.org/W2366113695","https://openalex.org/W2504108613"],"related_works":["https://openalex.org/W7095269098","https://openalex.org/W1599010068","https://openalex.org/W2068518951","https://openalex.org/W1854934195","https://openalex.org/W2060363186","https://openalex.org/W2106938213","https://openalex.org/W2149827651","https://openalex.org/W12824513","https://openalex.org/W2112006700","https://openalex.org/W1522109779"],"abstract_inverted_index":{"Intelligent":[0],"pattern":[1,29],"selection":[2,76],"is":[3,30,72],"an":[4],"active":[5],"learning":[6,61],"strategy":[7,23],"where":[8,24],"the":[9,14,25,33,38,43,60,75,78,104,108],"classifiers":[10],"select":[11],"during":[12],"training":[13,44,69,95,100],"most":[15,79],"informative":[16],"patterns.":[17,81],"This":[18],"paper":[19],"investigates":[20],"such":[21],"a":[22,28,48],"informativeness":[26],"of":[27,77,107],"measured":[31],"as":[32],"approximation":[34],"error":[35,66],"produced":[36],"by":[37],"classifier.":[39,111],"The":[40,68],"algorithm":[41],"builds":[42],"corpus":[45,62],"starting":[46],"from":[47],"small":[49],"randomly":[50],"chosen":[51],"initial":[52],"dataset":[53,70,90],"and":[54],"new":[55],"patterns":[56],"are":[57,97],"added":[58],"to":[59],"based":[63,73],"on":[64,74,85],"their":[65],"sensitivity.":[67],"expansion":[71],"erroneous":[80],"Our":[82],"experimental":[83],"results":[84],"MNIST":[86],"1":[87],"separated":[88],"digit":[89],"show":[91],"that":[92],"only":[93],"3.26%of":[94],"data":[96],"sufficient":[98],"for":[99],"purpose":[101],"without":[102],"decreasing":[103],"performance":[105],"(98.36%)":[106],"resulting":[109],"neural":[110]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2016-06-24T00:00:00"}
