{"id":"W2014830929","doi":"10.1109/icsmc.2011.6083986","title":"Feature and instance selection via cooperative PSO","year":2011,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Universiti Teknikal Malaysia Melaka; Ministry of Higher Education, Malaysia","keywords":"Feature selection; Computer science; Particle swarm optimization; Curse of dimensionality; Dimensionality reduction; Data mining; Artificial intelligence; Machine learning; Selection (genetic algorithm); Feature (linguistics)","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":[0.001028195,0.0006816409,0.001229887,0.0008663243,0.0003638397,0.001067212,0.001338573,0.0009139912,0.0009777443],"category_scores_gemma":[0.003799459,0.0004085688,0.0007358365,0.0009610155,0.0005372346,0.00071017,0.0009380101,0.0005776046,0.0002879531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004032391,"about_ca_system_score_gemma":0.0005442618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002687093,"about_ca_topic_score_gemma":0.001619357,"domain_scores_codex":[0.9994355,0.0001567954,0.00002939147,0.0001096968,0.0002052637,0.00006324802],"domain_scores_gemma":[0.9991008,0.0004375894,0.000089601,0.0001256891,0.0001962976,0.00005014617],"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":[0.0001387307,0.00009577764,0.001492596,0.00006999695,0.00009390587,0.0001134617,0.0001223316,0.8259535,0.00775364,0.00824742,0.001577314,0.1543413],"study_design_scores_gemma":[0.00000947514,0.00001259298,0.00009562611,0.000001181992,0.000004589934,0.00001194523,0.000003641493,0.9985232,0.0004047198,0.0007213255,0.0002094958,0.000002270114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04603703,0.0001509051,0.9498563,0.0001371058,0.00004509014,0.00007649214,0.0000308655,0.000520299,0.003145877],"genre_scores_gemma":[0.6895711,0.000120122,0.3074569,0.0000967919,0.00006107931,0.000259055,0.0001452301,0.00007233509,0.002217394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002687093,"threshold_uncertainty_score":0.005437672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850900527507319,"score_gpt":0.2314786163928863,"score_spread":0.2129696111178131,"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."}}