{"id":"W2048291033","doi":"10.1016/j.patrec.2010.06.014","title":"Improved Group Sparse Classifier","year":2010,"lang":"en","type":"article","venue":"Pattern Recognition Letters","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Classifier (UML); Artificial intelligence; Margin classifier; Computer science; Quadratic classifier; Pattern recognition (psychology); Regular polygon; Machine learning; Optimization problem; Mathematics; Algorithm","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":[0.0009772154,0.000707351,0.001876053,0.00134694,0.0008677081,0.001213484,0.001415869,0.00162272,0.008621484],"category_scores_gemma":[0.002350784,0.0003398899,0.0009088832,0.001496883,0.0003859061,0.001505333,0.001542182,0.001511139,0.004969101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004730974,"about_ca_system_score_gemma":0.001692237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002930864,"about_ca_topic_score_gemma":0.005453473,"domain_scores_codex":[0.9988626,0.0002342484,0.00005172407,0.0002368748,0.0004915141,0.0001230902],"domain_scores_gemma":[0.9988098,0.0002359584,0.0000543869,0.0003765157,0.0004590429,0.00006433712],"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":[0.0004810986,0.0003122503,0.001107932,0.00009311219,0.0001310335,0.00009771362,0.00006724437,0.04132378,0.01649244,0.0139746,0.03892585,0.8869929],"study_design_scores_gemma":[0.00005299312,0.0001107846,0.0006367333,0.00001125972,0.00005642799,0.0001304003,0.00002683656,0.9693505,0.008697106,0.00898143,0.01192352,0.00002196538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02045817,0.0007182254,0.9695573,0.0007633368,0.000648054,0.0001114666,0.0004596107,0.001752858,0.005530907],"genre_scores_gemma":[0.2442664,0.0006671454,0.7198502,0.0009022112,0.0009821877,0.0002708736,0.003209204,0.0003422018,0.02950958],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008621484,"threshold_uncertainty_score":0.02884173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852208099439242,"score_gpt":0.2099244428608923,"score_spread":0.1914023618664999,"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."}}