{"id":"https://openalex.org/W4404607402","doi":"https://doi.org/10.59247/csol.v2i1.69","title":"Comprehensive Overview of Optimization Techniques in Machine Learning Training","display_name":"Comprehensive Overview of Optimization Techniques in Machine Learning Training","publication_year":2024,"publication_date":"2024-02-13","ids":{"openalex":"https://openalex.org/W4404607402","doi":"https://doi.org/10.59247/csol.v2i1.69"},"language":"en","primary_location":{"id":"doi:10.59247/csol.v2i1.69","doi":"https://doi.org/10.59247/csol.v2i1.69","is_oa":true,"landing_page_url":"https://doi.org/10.59247/csol.v2i1.69","pdf_url":"https://ejournal.csol.or.id/index.php/csol/article/download/69/89","source":{"id":"https://openalex.org/S4387288228","display_name":"Control Systems and Optimization Letters","issn_l":"2985-6116","issn":["2985-6116"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Control Systems and Optimization Letters","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ejournal.csol.or.id/index.php/csol/article/download/69/89","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004939766","display_name":"K. Karthick","orcid":"https://orcid.org/0000-0001-7755-5715","observed_orcids":["https://orcid.org/0000-0001-7755-5715"]},"institutions":[{"id":"https://openalex.org/I4405272215","display_name":"GMR Institute of Technology","ror":"https://ror.org/03rxvm679","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405272215"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K. Karthick","raw_affiliation_strings":["GMR Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GMR Institute of Technology","institution_ids":["https://openalex.org/I4405272215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5004939766"],"corresponding_institution_ids":["https://openalex.org/I4405272215"],"apc_list":null,"apc_paid":null,"fwci":2.954,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.92623369,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"2","issue":"1","first_page":"23","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9984999895095825,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9984999895095825,"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":0.00039999998989515007,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":9.999999747378752e-05,"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/machine-learning-optimization","display_name":"machine learning optimization","score":0.8169999718666077},{"id":"https://openalex.org/keywords/second-order-optimization","display_name":"second-order optimization","score":0.9240000247955322},{"id":"https://openalex.org/keywords/regularization","display_name":"regularization","score":0.972000002861023},{"id":"https://openalex.org/keywords/constraint-based-optimization","display_name":"constraint-based optimization","score":0.9070000052452087},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.9990000128746033},{"id":"https://openalex.org/keywords/loss-function-optimization","display_name":"loss function optimization","score":0.9430000185966492},{"id":"https://openalex.org/keywords/overfitting","display_name":"overfitting","score":0.9240000247955322},{"id":"https://openalex.org/keywords/model-generalization","display_name":"model generalization","score":0.746999979019165},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.7749999761581421}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7724951505661011},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.7280560731887817},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7136245965957642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6881186962127686},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6137996315956116},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5188992619514465},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4119785726070404},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15702292323112488},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08586415648460388},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.59247/csol.v2i1.69","doi":"https://doi.org/10.59247/csol.v2i1.69","is_oa":true,"landing_page_url":"https://doi.org/10.59247/csol.v2i1.69","pdf_url":"https://ejournal.csol.or.id/index.php/csol/article/download/69/89","source":{"id":"https://openalex.org/S4387288228","display_name":"Control Systems and Optimization Letters","issn_l":"2985-6116","issn":["2985-6116"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Control Systems and Optimization Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.59247/csol.v2i1.69","doi":"https://doi.org/10.59247/csol.v2i1.69","is_oa":true,"landing_page_url":"https://doi.org/10.59247/csol.v2i1.69","pdf_url":"https://ejournal.csol.or.id/index.php/csol/article/download/69/89","source":{"id":"https://openalex.org/S4387288228","display_name":"Control Systems and Optimization Letters","issn_l":"2985-6116","issn":["2985-6116"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Control Systems and Optimization Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404607402.pdf","grobid_xml":"https://content.openalex.org/works/W4404607402.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W186175500","https://openalex.org/W1999907667","https://openalex.org/W2099428582","https://openalex.org/W2487200295","https://openalex.org/W2912044994","https://openalex.org/W2989691494","https://openalex.org/W3006150655","https://openalex.org/W3171508268","https://openalex.org/W4200553326","https://openalex.org/W4283767865","https://openalex.org/W4294647307","https://openalex.org/W4313595515","https://openalex.org/W4317883989","https://openalex.org/W4318484896","https://openalex.org/W4321850195","https://openalex.org/W4366262984","https://openalex.org/W4366988472","https://openalex.org/W4386324507"],"related_works":["https://openalex.org/W7148778542","https://openalex.org/W4408883217","https://openalex.org/W4408119341","https://openalex.org/W4413839790","https://openalex.org/W4393318778","https://openalex.org/W4407780694","https://openalex.org/W7161785876","https://openalex.org/W4412098763","https://openalex.org/W4402422801","https://openalex.org/W4417454653"],"abstract_inverted_index":{"This":[0],"article":[1,115],"offers":[2],"a":[3,18],"comprehensive":[4],"overview":[5],"of":[6,20,43,98,128],"optimization":[7,44,70,129],"techniques":[8,130],"employed":[9],"in":[10,45,50,104,123],"training":[11,62],"machine":[12,134],"learning":[13,135],"(ML)":[14],"models.":[15],"Machine":[16],"learning,":[17],"subset":[19],"artificial":[21],"intelligence,":[22],"employs":[23],"statistical":[24],"methods":[25],"to":[26,29,54,117],"enable":[27],"systems":[28],"learn":[30],"and":[31,63,87,96,111,121,137],"improve":[32],"from":[33],"experience":[34],"without":[35],"explicit":[36],"programming.":[37],"The":[38,66,114],"paper":[39],"delineates":[40],"the":[41,93,125],"significance":[42],"ML,":[46],"emphasizing":[47],"its":[48],"role":[49],"adjusting":[51],"model":[52,61],"parameters":[53],"minimize":[55],"loss":[56],"functions,":[57],"thereby":[58],"ensuring":[59],"efficient":[60],"improved":[64],"generalization.":[65],"discussion":[67],"encompasses":[68],"various":[69],"methods,":[71],"including":[72],"Gradient":[73],"Descent":[74],"Variants,":[75],"Adaptive":[76],"Learning":[77],"Rate":[78],"Methods,":[79,82,84,86],"Second-Order":[80],"Optimization":[81],"Regularization":[83],"Constraint-based":[85],"Bayesian":[88],"Optimization.":[89],"Each":[90],"section":[91],"elucidates":[92],"principles,":[94],"applications,":[95],"benefits":[97],"these":[99],"techniques,":[100],"highlighting":[101],"their":[102],"relevance":[103],"addressing":[105],"challenges":[106],"such":[107],"as":[108],"overfitting,":[109],"scalability,":[110],"computational":[112],"efficiency.":[113],"aims":[116],"guide":[118],"researchers,":[119],"practitioners,":[120],"enthusiasts":[122],"navigating":[124],"complex":[126],"landscape":[127],"tailored":[131],"for":[132],"diverse":[133],"algorithms":[136],"applications.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-11-22T00:00:00"}