{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001186465,0.001592039,0.001857519,0.0007193222,0.0005296859,0.0009966975,0.001620458,0.001894941,0.003280024],"category_scores_gemma":[0.003213477,0.0007660339,0.0009423879,0.001093482,0.0006851605,0.0009822784,0.001010758,0.00177345,0.001414193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007625776,"about_ca_system_score_gemma":0.001654663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007135441,"about_ca_topic_score_gemma":0.005718498,"domain_scores_codex":[0.999351,0.0002058886,0.00004653023,0.0001720595,0.0001581304,0.00006637548],"domain_scores_gemma":[0.999175,0.0004271417,0.00006809305,0.00006714286,0.0002261993,0.0000363524],"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":[0.0001009931,0.00005921094,0.0005962945,0.0001125765,0.00006333714,0.00007583753,0.0000581436,0.8456442,0.002547822,0.007906011,0.003425292,0.1394102],"study_design_scores_gemma":[0.00001306026,0.00001615902,0.00003544452,0.000003928279,0.000003718128,0.000007955172,0.000003007312,0.9979522,0.0003373182,0.001178216,0.000446392,0.00000251886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007651995,0.0004865462,0.988643,0.0001264212,0.00007072549,0.00007854309,0.00004561837,0.001250493,0.001646653],"genre_scores_gemma":[0.2161653,0.0004842511,0.7773991,0.0002761091,0.00009372625,0.0007143845,0.0005736295,0.0003099341,0.0039835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007135441,"threshold_uncertainty_score":0.01418781,"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."}}