{"id":"https://openalex.org/W2588556732","doi":"https://doi.org/10.1109/ssci.2016.7850152","title":"Search space boundaries in neural network error landscape analysis","display_name":"Search space boundaries in neural network error landscape analysis","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2588556732","doi":"https://doi.org/10.1109/ssci.2016.7850152","mag":"2588556732"},"language":"en","primary_location":{"id":"doi:10.1109/ssci.2016.7850152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7850152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5037780608","display_name":"Anna Sergeevna Bosman","orcid":"https://orcid.org/0000-0003-3546-1467"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Anna Sergeevna Bosman","raw_affiliation_strings":["Department of Computer Science, University of Pretoria Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pretoria Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039197997","display_name":"Andries P. Engelbrecht","orcid":"https://orcid.org/0000-0002-0242-3539"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Andries Engelbrecht","raw_affiliation_strings":["Department of Computer Science, University of Pretoria Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pretoria Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075927726","display_name":"Mard\u00e9 Helbig","orcid":"https://orcid.org/0000-0002-4907-0662"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Marde Helbig","raw_affiliation_strings":["Department of Computer Science, University of Pretoria Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pretoria Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037780608"],"corresponding_institution_ids":["https://openalex.org/I69552723"],"apc_list":null,"apc_paid":null,"fwci":0.8569,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85244277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991999864578247,"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/T10320","display_name":"Neural Networks and Applications","score":0.9991999864578247,"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/T12676","display_name":"Machine Learning and ELM","score":0.9977999925613403,"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/T10057","display_name":"Face and Expression Recognition","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fitness-landscape","display_name":"Fitness landscape","score":0.8818141222000122},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.729037344455719},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7211832404136658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.613616943359375},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.6002451181411743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5280105471611023},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45982009172439575},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44191667437553406},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4183539152145386},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41455695033073425},{"id":"https://openalex.org/keywords/fitness-approximation","display_name":"Fitness approximation","score":0.4117944836616516},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.153059184551239},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08077540993690491},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07274195551872253}],"concepts":[{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.8818141222000122},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.729037344455719},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7211832404136658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.613616943359375},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.6002451181411743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5280105471611023},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45982009172439575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44191667437553406},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4183539152145386},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41455695033073425},{"id":"https://openalex.org/C148392497","wikidata":"https://www.wikidata.org/wiki/Q16250539","display_name":"Fitness approximation","level":4,"score":0.4117944836616516},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.153059184551239},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08077540993690491},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07274195551872253},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci.2016.7850152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7850152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W188592340","https://openalex.org/W246566237","https://openalex.org/W1533861849","https://openalex.org/W1535529451","https://openalex.org/W1554663460","https://openalex.org/W1582290234","https://openalex.org/W1592244475","https://openalex.org/W1599746992","https://openalex.org/W1899249567","https://openalex.org/W1933385826","https://openalex.org/W1975822826","https://openalex.org/W1979695132","https://openalex.org/W1987461466","https://openalex.org/W1999205703","https://openalex.org/W2001619934","https://openalex.org/W2018198603","https://openalex.org/W2027547846","https://openalex.org/W2028186927","https://openalex.org/W2030258362","https://openalex.org/W2044400415","https://openalex.org/W2098677716","https://openalex.org/W2139801605","https://openalex.org/W2219036994","https://openalex.org/W2294444706","https://openalex.org/W2559582155","https://openalex.org/W2601424732","https://openalex.org/W2914484425","https://openalex.org/W2963586744","https://openalex.org/W4255949318","https://openalex.org/W4388297464","https://openalex.org/W6607610000","https://openalex.org/W6609453910","https://openalex.org/W6631943919","https://openalex.org/W6632016383","https://openalex.org/W6639736602","https://openalex.org/W6640368482","https://openalex.org/W6681804681","https://openalex.org/W6735901087"],"related_works":["https://openalex.org/W2036107212","https://openalex.org/W2164084664","https://openalex.org/W2159937791","https://openalex.org/W192154461","https://openalex.org/W2138958036","https://openalex.org/W1634842376","https://openalex.org/W1591022951","https://openalex.org/W56491333","https://openalex.org/W1974337071","https://openalex.org/W2350167797"],"abstract_inverted_index":{"Fitness":[0],"landscape":[1,16,28,55,90,110],"analysis":[2,29,56],"encompasses":[3],"a":[4,14],"selection":[5],"of":[6,13,40,75,92],"techniques":[7],"designed":[8],"to":[9,23,33,82],"estimate":[10],"the":[11,35,38,41,76],"properties":[12,91],"search":[15,60,66,77,97,103],"associated":[17],"with":[18],"an":[19],"optimisation":[20],"problem.":[21],"Applied":[22],"neural":[24,46,64,93,107],"network":[25,47,65,108],"training,":[26],"fitness":[27,54,89,109],"can":[30],"be":[31,80],"used":[32],"establish":[34],"link":[36],"between":[37],"shape":[39],"objective":[42],"function":[43],"and":[44,49,100],"various":[45,96],"design":[48],"architecture":[50],"properties.":[51],"However,":[52],"most":[53],"metrics":[57],"rely":[58],"on":[59],"space":[61,67,78,98,104],"sampling.":[62],"Since":[63],"is":[68,71],"unbounded,":[69],"it":[70],"unclear":[72],"what":[73],"subset":[74],"should":[79],"sampled":[81],"obtain":[83],"representative":[84],"measurements.":[85],"This":[86],"study":[87],"analyses":[88],"networks":[94],"under":[95],"boundaries,":[99],"proposes":[101],"meaningful":[102],"bounds":[105],"for":[106],"analysis.":[111]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
