{"id":"W4390483110","doi":"10.1109/ssci52147.2023.10371958","title":"Training Artificial Neural Networks by Coordinate Search Algorithm","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Brock University; Ontario Tech University","funders":"","keywords":"Artificial neural network; Computer science; Gradient descent; Convergence (economics); Differentiable function; Stochastic gradient descent; Dimension (graph theory); Artificial intelligence; Mathematical optimization; Gradient method; Maxima and minima; Optimization problem; Algorithm; Variable (mathematics); Machine learning; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002277331,0.0001309542,0.0001311448,0.00007976293,0.0002807401,0.000140339,0.0007731769,0.00005274033,0.00002005369],"category_scores_gemma":[0.000009252532,0.0001249046,0.00005035676,0.001778371,0.00005828179,0.0003495124,0.0003282847,0.0002366999,0.0001954755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002124914,"about_ca_system_score_gemma":0.00001689021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009260052,"about_ca_topic_score_gemma":0.000003401896,"domain_scores_codex":[0.99845,0.00005050731,0.0002077917,0.0004618336,0.0002343531,0.000595497],"domain_scores_gemma":[0.9991313,0.0002007184,0.00003522559,0.0004405514,0.0000468107,0.0001454535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[8.768791e-7,0.00001011458,0.000007681862,6.619854e-7,0.000003854447,0.000009982015,0.0001123055,0.04842244,0.0003471771,0.01606482,0.01146434,0.9235557],"study_design_scores_gemma":[0.00006605366,0.00002438313,0.00006555753,0.000001594276,0.000001222198,0.000008077005,0.00004517748,0.9903293,0.0005557151,0.003697191,0.005058819,0.0001468567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002129279,0.0000310955,0.9917395,0.003339303,0.0002748394,0.0001865158,0.000003486279,0.001186293,0.00110972],"genre_scores_gemma":[0.910246,0.00003582865,0.08400421,0.001271056,0.0004781758,0.0001243273,0.00005354978,0.00003968137,0.003747206],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9419069,"threshold_uncertainty_score":0.5093462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0603872689920352,"score_gpt":0.3126092112086661,"score_spread":0.2522219422166309,"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."}}