{"id":"W2772489041","doi":"","title":"Triply Stochastic Gradients on Multiple Kernel Learning.","year":2017,"lang":"en","type":"article","venue":"Uncertainty in Artificial Intelligence","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Kernel (algebra); Artificial intelligence; Multiple kernel learning; Kernel method; Mathematics; Support vector machine; Combinatorics","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":[0.0007584347,0.0002498624,0.0002669772,0.0002212577,0.0008120633,0.000564246,0.00209544,0.0001051454,0.0000421059],"category_scores_gemma":[0.004200893,0.0002342556,0.0001027964,0.0002219857,0.0001810728,0.0003183968,0.0003330373,0.0005637891,0.0007578512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001066908,"about_ca_system_score_gemma":0.00006071182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001682583,"about_ca_topic_score_gemma":0.0006681231,"domain_scores_codex":[0.9977193,0.0001574499,0.0004444577,0.0006914313,0.0004054344,0.0005819205],"domain_scores_gemma":[0.9978189,0.0005430345,0.0002665667,0.001128837,0.00008509016,0.0001575067],"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":[0.00008479977,0.0002464607,0.002166098,0.00000736127,0.000008590189,0.00004672413,0.001533498,0.4871734,0.00008317592,0.06223872,0.00008590029,0.4463252],"study_design_scores_gemma":[0.0001096438,0.0002584267,0.004111047,0.00008378758,0.000002832181,0.000004211956,0.000117138,0.9688435,0.0006018665,0.02433125,0.001224754,0.0003115067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.313288,0.0000437225,0.6747015,0.003222541,0.002171392,0.0004519832,0.000003653305,0.0003804419,0.005736765],"genre_scores_gemma":[0.997956,0.000007169107,0.0008548251,0.0001860425,0.0001386948,0.00002586033,0.000003271762,0.00001499962,0.0008131372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.684668,"threshold_uncertainty_score":0.9740896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04788244141461452,"score_gpt":0.3144047320931431,"score_spread":0.2665222906785286,"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."}}