{"id":"W2129911503","doi":"","title":"A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning","year":2008,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Classifier (UML); Upper and lower bounds; Artificial intelligence; Margin classifier; Decision boundary; Margin (machine learning); Computer science; Machine learning; Pattern recognition (psychology); Linear classifier; Training set; 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":[0.01778735,0.002262902,0.003655716,0.004509778,0.001455475,0.005344361,0.006537295,0.00531614,0.003662981],"category_scores_gemma":[0.07050611,0.001364348,0.002678755,0.002718924,0.006485833,0.008635756,0.00794541,0.008188355,0.00150894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00440239,"about_ca_system_score_gemma":0.00202586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312844,"about_ca_topic_score_gemma":0.001141268,"domain_scores_codex":[0.9806499,0.008296128,0.0008554526,0.002967719,0.006404304,0.0008263954],"domain_scores_gemma":[0.9487675,0.03669938,0.001944326,0.005220334,0.006393299,0.0009750872],"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":[0.0003013049,0.0001723742,0.001639165,0.0004429262,0.0002928091,0.0001999064,0.0004605462,0.501766,0.004918908,0.3400398,0.004488719,0.1452774],"study_design_scores_gemma":[0.00001235315,0.00005466573,0.0001077768,0.00004409143,0.00001830336,0.00005050915,0.00001264562,0.9243307,0.00116177,0.07306933,0.001111253,0.00002659164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001509339,0.0003627688,0.9968774,0.0002469095,0.00004498311,0.00003253925,0.00002383532,0.0001687698,0.0007333767],"genre_scores_gemma":[0.2817878,0.001087444,0.709042,0.001012351,0.0009027731,0.0008236635,0.000443212,0.0006548996,0.00424594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01778735,"threshold_uncertainty_score":0.09406966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802966482487975,"score_gpt":0.2559521503137447,"score_spread":0.2379224854888649,"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."}}