{"id":"W2187039664","doi":"","title":"EFFICIENT OPTIMIZATION ALGORITHMS FOR LEARNING","year":2003,"lang":"en","type":"article","venue":"TSpace","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Computer science; Algorithm; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.003039634,0.002021605,0.001788923,0.001307142,0.0008122389,0.002175211,0.002050572,0.002141426,0.006361246],"category_scores_gemma":[0.01222377,0.0008445833,0.0008768777,0.002400511,0.002008477,0.003136302,0.00299969,0.003223469,0.002589337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573019,"about_ca_system_score_gemma":0.001886977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002062546,"about_ca_topic_score_gemma":0.002600535,"domain_scores_codex":[0.9981794,0.0006897365,0.0001237167,0.0003016866,0.0005940422,0.000111391],"domain_scores_gemma":[0.9971506,0.002008659,0.0001506116,0.0003680311,0.0002748739,0.00004729551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000504508,0.00005898183,0.0002428551,0.000374332,0.00007573923,0.00003262142,0.00008930724,0.4795428,0.0007069519,0.3428516,0.007418277,0.1685561],"study_design_scores_gemma":[0.00002531113,0.00002109368,0.00005921179,0.00003731354,0.00001039624,0.00002120424,0.00001555039,0.8003621,0.0003538145,0.1928957,0.006190256,0.000008166127],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009229743,0.001093158,0.9948072,0.0002504257,0.00005531287,0.0000425351,0.00004196548,0.0002291232,0.002557396],"genre_scores_gemma":[0.09282402,0.003628187,0.8941727,0.0003195925,0.0003642094,0.000791861,0.0004647856,0.0003889717,0.007045635],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006361246,"threshold_uncertainty_score":0.02128047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651147997057942,"score_gpt":0.3107368891639483,"score_spread":0.2842254091933689,"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."}}