{"id":"https://openalex.org/W7220705204","doi":"https://doi.org/10.5281/zenodo.23198246","title":"Validaci\u00f3n del motor simb\u00f3lico en baja dimensionalidad del S3","display_name":"Validaci\u00f3n del motor simb\u00f3lico en baja dimensionalidad del S3","publication_year":2026,"publication_date":"2026-10-06","ids":{"openalex":"https://openalex.org/W7220705204","doi":"https://doi.org/10.5281/zenodo.23198246"},"language":"es","primary_location":{"id":"doi:10.5281/zenodo.23198246","doi":"https://doi.org/10.5281/zenodo.23198246","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23198246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.23198246","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5146971677","display_name":"Jason Gabriel Acevedo Esquivel","orcid":"https://orcid.org/0000-0003-0430-0062","observed_orcids":["https://orcid.org/0000-0003-0430-0062"]},"institutions":[{"id":"https://openalex.org/I3130757197","display_name":"Distance State University","ror":"https://ror.org/0529rbt18","country_code":"CR","type":"education","lineage":["https://openalex.org/I3130757197"]}],"countries":["CR"],"is_corresponding":true,"raw_author_name":"Acevedo Esquivel, Jason Gabriel","raw_affiliation_strings":["Distance State University","GI"],"raw_orcid":"https://orcid.org/0000-0003-0430-0062","affiliations":[{"raw_affiliation_string":"Distance State University","institution_ids":["https://openalex.org/I3130757197"]},{"raw_affiliation_string":"GI","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5146971677"],"corresponding_institution_ids":["https://openalex.org/I3130757197"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.3082999885082245,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.3082999885082245,"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":0.22990000247955322,"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":0.0333000011742115,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/low-dimensional-data","display_name":"low-dimensional data","score":0.4860000014305115},{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"few-shot learning","score":0.6380000114440918},{"id":"https://openalex.org/keywords/extrapolation","display_name":"extrapolation","score":0.6809999942779541},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"simulated annealing","score":0.8659999966621399},{"id":"https://openalex.org/keywords/structural-sparsity","display_name":"structural sparsity","score":0.7950000166893005}],"concepts":[{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.4413999915122986},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.32109999656677246},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.22579999268054962},{"id":"https://openalex.org/C137813230","wikidata":"https://www.wikidata.org/wiki/Q2996165","display_name":"Motor control","level":2,"score":0.21610000729560852},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.20800000429153442},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.2045000046491623},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.1964000016450882},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.19550000131130219},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19529999792575836}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.23198246","doi":"https://doi.org/10.5281/zenodo.23198246","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23198246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.5281/zenodo.23198247","doi":"https://doi.org/10.5281/zenodo.23198247","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23198247","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.5281/zenodo.23198246","doi":"https://doi.org/10.5281/zenodo.23198246","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23198246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7221784769","https://openalex.org/W7206158430","https://openalex.org/W7203770210","https://openalex.org/W2594516174","https://openalex.org/W4388868063","https://openalex.org/W7117119914","https://openalex.org/W3036274617","https://openalex.org/W6978316894","https://openalex.org/W2186431297","https://openalex.org/W7097740587"],"abstract_inverted_index":{"El":[0],"prototipo":[1],"experimental":[2],"valida":[3],"la":[4,18,23,63,83],"premisa":[5],"central":[6],"del":[7,48],"motor":[8],"de":[9,25,37,39,53,69,78],"g\u00e9nesis":[10],"simb\u00f3lica":[11],"para":[12],"el":[13,31],"sistema":[14],"3.":[15],"Al":[16],"comparar":[17],"generalizaci\u00f3n":[19],"causal":[20],"frente":[21,81],"a":[22,45,67,82],"interpolaci\u00f3n":[24],"un":[26,35,70],"aproximador":[27],"por":[28],"gradiente":[29],"puro,":[30],"modelo":[32,49],"simb\u00f3lico":[33],"logra":[34],"error":[36],"extrapolaci\u00f3n":[38,79],"0.0055,":[40],"una":[41,76],"cifra":[42],"abismalmente":[43],"inferior":[44],"los":[46],"2037.8220":[47],"neuronal.":[50],"La":[51],"integraci\u00f3n":[52],"recocido":[54],"simulado,":[55],"ajuste":[56],"bayesiano":[57],"y":[58],"poda":[59],"estructural":[60],"permite":[61],"capturar":[62],"regla":[64],"generativa":[65],"exacta":[66],"partir":[68],"entorno":[71],"few-shot,":[72],"lo":[73],"cual":[74],"demuestra":[75],"capacidad":[77],"robusta":[80],"fuerza":[84],"bruta.":[85]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-10-07T00:00:00"}
