{"id":"W2150954665","doi":"10.1109/icpr.2006.365","title":"Class Separability in Spaces Reduced By Feature Selection","year":2006,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; National Research Council Institute for Biodiagnostics","funders":"","keywords":"Feature selection; Curse of dimensionality; Artificial intelligence; Pattern recognition (psychology); Feature vector; Support vector machine; Computer science; Linear classifier; Classifier (UML); Selection (genetic algorithm); Class (philosophy); Feature extraction; Feature (linguistics); Dimensionality reduction; Machine learning","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":[0.004931883,0.0007415794,0.001471885,0.001236663,0.0005805417,0.00168324,0.0007666551,0.0007687579,0.0009753821],"category_scores_gemma":[0.02883956,0.0004298155,0.001071993,0.001407733,0.001823643,0.002806652,0.001773337,0.001940905,0.0002124952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009220308,"about_ca_system_score_gemma":0.0006595278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070376,"about_ca_topic_score_gemma":0.0006708468,"domain_scores_codex":[0.9961731,0.001770755,0.0002265985,0.0004459377,0.001187894,0.0001957351],"domain_scores_gemma":[0.9689623,0.02599223,0.001692512,0.001774024,0.001288217,0.0002907539],"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":[0.0008114733,0.0002470519,0.006371542,0.0003320771,0.0001857357,0.0005469837,0.0005532852,0.7578032,0.01576652,0.06698272,0.001515048,0.1488843],"study_design_scores_gemma":[0.0000271917,0.0001163567,0.00394648,0.000008904006,0.00001353057,0.0001292568,0.00005150077,0.9442554,0.003178079,0.04772823,0.0005189619,0.00002615419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2583662,0.0004442365,0.7390772,0.0004499505,0.00003175755,0.00007167315,0.0001170535,0.0002007124,0.001241197],"genre_scores_gemma":[0.8284092,0.0002257621,0.169525,0.00006917697,0.00009100063,0.0001705484,0.0005004145,0.00008120282,0.0009277568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004931883,"threshold_uncertainty_score":0.02608258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005994538448580035,"score_gpt":0.2298487802224304,"score_spread":0.2238542417738503,"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."}}