{"id":"W4310170631","doi":"10.18280/isi.270519","title":"Improved Genetic Optimized Feature Selection for Online Sequential Extreme Learning Machine","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extreme learning machine; Initialization; Computer science; Feature selection; Artificial intelligence; Classifier (UML); Genetic algorithm; Machine learning; Pattern recognition (psychology); Artificial neural network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000764661,0.0005349684,0.0006081886,0.0005676224,0.0002937574,0.0004353512,0.0007658548,0.0005237882,0.001002647],"category_scores_gemma":[0.001372783,0.0001833185,0.0005269405,0.0004317105,0.0002516163,0.000414668,0.0004543681,0.0004884565,0.0001740624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004950235,"about_ca_system_score_gemma":0.0007423919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002551776,"about_ca_topic_score_gemma":0.002187356,"domain_scores_codex":[0.9995279,0.0001144794,0.00002533251,0.00009523326,0.0001766897,0.00006027053],"domain_scores_gemma":[0.9996916,0.0001064716,0.00003946215,0.00002514095,0.0001230982,0.00001429984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001787313,0.0002203247,0.003491084,0.00007853584,0.0001034003,0.0001659239,0.00008707878,0.5675996,0.01936621,0.004884565,0.002355929,0.4014687],"study_design_scores_gemma":[0.0000114545,0.00006906721,0.0004756402,0.00000290413,0.00000701262,0.00003284485,0.000008170733,0.996503,0.001655999,0.0008144105,0.0004150505,0.000004506863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08119989,0.0002320529,0.9160231,0.0001767761,0.00004136769,0.0000677281,0.00004536744,0.0005410613,0.001672688],"genre_scores_gemma":[0.7996904,0.00008788861,0.1973134,0.0001491353,0.00003569648,0.0001910171,0.0001757428,0.00005197766,0.002304808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002551776,"threshold_uncertainty_score":0.005073905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474195862725657,"score_gpt":0.236287921401039,"score_spread":0.2215459627737824,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}