{"id":"W2964610636","doi":"10.48550/arxiv.1907.11584","title":"Scalable Semi-Supervised SVM via Triply Stochastic Gradients","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Scalability; Computer science; Support vector machine; Classifier (UML); Kernel (algebra); Convexity; Artificial intelligence; Machine learning; Algorithm; Mathematics; Combinatorics; Database","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":[0.00220156,0.001239752,0.001970726,0.0007531687,0.0005818296,0.001238056,0.002585912,0.001701707,0.001727562],"category_scores_gemma":[0.00690423,0.0008167489,0.001087942,0.0008431495,0.001066614,0.002195538,0.002105739,0.002560621,0.001173552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051788,"about_ca_system_score_gemma":0.002158624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004292514,"about_ca_topic_score_gemma":0.004430834,"domain_scores_codex":[0.9982967,0.0005773613,0.0001064551,0.0003727488,0.0004991845,0.0001475147],"domain_scores_gemma":[0.9970624,0.001229208,0.0002939382,0.0005435793,0.0006680174,0.0002028826],"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":[0.0002246608,0.000198717,0.001554274,0.0001441634,0.0001110953,0.0001217337,0.0001422023,0.6787197,0.005104663,0.01900928,0.008259765,0.2864098],"study_design_scores_gemma":[0.000005803237,0.00001099186,0.00003721629,0.000001792149,0.000001476197,0.000007202642,0.000002859491,0.9962315,0.000281361,0.003265858,0.0001515322,0.000002412967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01372152,0.000193757,0.9833841,0.0002239063,0.00004598648,0.0000681265,0.00006846767,0.001639649,0.0006544343],"genre_scores_gemma":[0.4623121,0.0002345311,0.5312022,0.0004525063,0.0001706701,0.0003539598,0.001181863,0.000456239,0.003635881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004292514,"threshold_uncertainty_score":0.01164311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05085020534288383,"score_gpt":0.1806257253440142,"score_spread":0.1297755200011304,"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."}}