{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008087139,0.00004798512,0.00004113438,0.00002795274,0.00008879303,0.00004831807,0.0001301176,0.00002915771,0.00002121146],"category_scores_gemma":[0.00001674171,0.00003725937,0.000005701955,0.0001696834,0.00001555875,0.0003595549,0.00003947408,0.00009187056,0.00002894722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007418425,"about_ca_system_score_gemma":0.00001219616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004834043,"about_ca_topic_score_gemma":0.00005878767,"domain_scores_codex":[0.9996218,0.00003451934,0.00003787698,0.0001829546,0.00005421863,0.00006863428],"domain_scores_gemma":[0.999753,0.00001083802,0.00002418564,0.0001391036,0.00004156237,0.00003128717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001549943,0.00006875524,0.02031266,0.00001117723,0.00001409712,0.000002363418,0.003032539,0.000009038176,0.005241092,0.6705537,0.0115179,0.2892211],"study_design_scores_gemma":[0.0005647459,0.0003713391,0.4168584,0.00001686562,0.000007489825,0.00009128729,0.0000890698,0.4636434,0.01191875,0.003806768,0.1021796,0.0004523076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005168749,0.00004456709,0.9667211,0.001053203,0.00005976121,0.00004756067,3.5633e-7,0.00014853,0.02675618],"genre_scores_gemma":[0.9062445,0.00001389821,0.09033304,0.0002833919,0.00001749637,0.000004181701,0.000002950281,0.00000233311,0.00309818],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9010758,"threshold_uncertainty_score":0.1519393,"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."}}